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\n  \n 2024\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Pattern of encounters to emergency departments for suicidal attempts in France: Identification of high-risk days, months and holiday periods.\n \n \n \n \n\n\n \n Rochoy, M.; Pontais, I.; Caserio-Schönemann, C.; Chan-Chee, C.; Gainet, L.; Gobert, Y.; Baran, J.; Dodin, V.; Defebvre, L.; Collins, C.; Chazard, E.; Berkhout, C.; and Balayé, P.\n\n\n \n\n\n\n L'Encéphale. February 2024.\n \n\n\n\n
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@article{rochoy_pattern_2024,\n\ttitle = {Pattern of encounters to emergency departments for suicidal attempts in {France}: {Identification} of high-risk days, months and holiday periods},\n\tissn = {0013-7006},\n\tshorttitle = {Pattern of encounters to emergency departments for suicidal attempts in {France}},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0013700624000083},\n\tdoi = {10.1016/j.encep.2023.11.018},\n\tabstract = {Introduction\nSeasonal change in patterns of suicidal attempts is not well known in France and may differ from other western countries. We aimed to determine the peak times (days, months and holiday periods) of suicidal attempts in France.\nMethods\nWe carried out a multicentre retrospective epidemiological study, using data from the Organization for Coordinated Monitoring of Emergencies (OSCOUR®) network. We aggregated daily data from January 1, 2010, to December 31, 2019. Variations in suicidal attempts on specific days were investigated by comparing their frequencies (ad hoc Z-scores).\nResults\n114,805,488 ED encounters were recorded including 233,242 ED encounters regarding suicidal attempts. Men accounted for 45.7\\%. A significantly higher frequency of ED encounters for suicidal acts were found on Sundays in the months of May-June for both sexes and on New Year's Day for all genders and age groups. An increased risk was also noted on July 14th (National Day) and June 22nd (Summer Solstice). A protective effect was noted on the day after Valentine's Day, on Christmas Day and Christmas time (in particular December 24 and 26).\nConclusion\nSundays, June, New Year's Day were at increased risk of suicidal attempts in France requiring a strengthening of prevention.\nRésumé\nIntroduction\nLes variations saisonnières des tentatives de suicide sont mal connues en France et peuvent différer des autres pays occidentaux. Nous avons cherché à déterminer les périodes de pointe (jours, mois et périodes de vacances) des tentatives de suicide en France.\nMéthodes\nNous avons réalisé une étude épidémiologique rétrospective multicentrique, en utilisant les données du réseau de l’Organisation de la surveillance coordonnée des urgences (OSCOUR®). Nous avons agrégé les données quotidiennes du 1er janvier 2010 au 31 décembre 2019. Les variations des tentatives de suicide sur des jours spécifiques ont été étudiées en comparant leurs fréquences (scores Z ad hoc).\nRésultats\n114 805 488 consultations aux urgences ont été enregistrées dont 233 242 consultations aux urgences concernant des tentatives de suicide. Les hommes représentaient 45,7 \\% des consultations. Une fréquence significativement plus élevée de consultations aux urgences pour des actes suicidaires a été observée les dimanches des mois de mai et juin pour les deux sexes et le jour de l’an, pour tous les sexes et tous les groupes d’âge. Un risque accru a également été constaté le 14 juillet (fête nationale) et le 22 juin (solstice d’été). Un effet protecteur a été observé le lendemain de la Saint-Valentin, le jour de Noël et pendant la période de Noël (en particulier les 24 et 26 décembre).\nConclusion\nLes dimanches, le mois de juin et le jour de l’an sont à risque accru de tentatives de suicide en France, ce qui nécessite un renforcement de la prévention.},\n\turldate = {2024-02-05},\n\tjournal = {L'Encéphale},\n\tauthor = {Rochoy, Michaël and Pontais, Isabelle and Caserio-Schönemann, Céline and Chan-Chee, Christine and Gainet, Luce and Gobert, Yann and Baran, Jan and Dodin, Vincent and Defebvre, Luc and Collins, Claire and Chazard, Emmanuel and Berkhout, Christophe and Balayé, Pierre},\n\tmonth = feb,\n\tyear = {2024},\n\tkeywords = {Clinical governance, Epidemiology, Gouvernance clinique, Suicide, Épidémiologie},\n}\n\n
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\n Introduction Seasonal change in patterns of suicidal attempts is not well known in France and may differ from other western countries. We aimed to determine the peak times (days, months and holiday periods) of suicidal attempts in France. Methods We carried out a multicentre retrospective epidemiological study, using data from the Organization for Coordinated Monitoring of Emergencies (OSCOUR®) network. We aggregated daily data from January 1, 2010, to December 31, 2019. Variations in suicidal attempts on specific days were investigated by comparing their frequencies (ad hoc Z-scores). Results 114,805,488 ED encounters were recorded including 233,242 ED encounters regarding suicidal attempts. Men accounted for 45.7%. A significantly higher frequency of ED encounters for suicidal acts were found on Sundays in the months of May-June for both sexes and on New Year's Day for all genders and age groups. An increased risk was also noted on July 14th (National Day) and June 22nd (Summer Solstice). A protective effect was noted on the day after Valentine's Day, on Christmas Day and Christmas time (in particular December 24 and 26). Conclusion Sundays, June, New Year's Day were at increased risk of suicidal attempts in France requiring a strengthening of prevention. Résumé Introduction Les variations saisonnières des tentatives de suicide sont mal connues en France et peuvent différer des autres pays occidentaux. Nous avons cherché à déterminer les périodes de pointe (jours, mois et périodes de vacances) des tentatives de suicide en France. Méthodes Nous avons réalisé une étude épidémiologique rétrospective multicentrique, en utilisant les données du réseau de l’Organisation de la surveillance coordonnée des urgences (OSCOUR®). Nous avons agrégé les données quotidiennes du 1er janvier 2010 au 31 décembre 2019. Les variations des tentatives de suicide sur des jours spécifiques ont été étudiées en comparant leurs fréquences (scores Z ad hoc). Résultats 114 805 488 consultations aux urgences ont été enregistrées dont 233 242 consultations aux urgences concernant des tentatives de suicide. Les hommes représentaient 45,7 % des consultations. Une fréquence significativement plus élevée de consultations aux urgences pour des actes suicidaires a été observée les dimanches des mois de mai et juin pour les deux sexes et le jour de l’an, pour tous les sexes et tous les groupes d’âge. Un risque accru a également été constaté le 14 juillet (fête nationale) et le 22 juin (solstice d’été). Un effet protecteur a été observé le lendemain de la Saint-Valentin, le jour de Noël et pendant la période de Noël (en particulier les 24 et 26 décembre). Conclusion Les dimanches, le mois de juin et le jour de l’an sont à risque accru de tentatives de suicide en France, ce qui nécessite un renforcement de la prévention.\n
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\n \n\n \n \n \n \n \n Congrès Emois – Nancy, 16 et 17 mars 2023.\n \n \n \n\n\n \n Chazard, E.; Bannay, A.; Jay, N.; and Chevalier, S.\n\n\n \n\n\n\n Revue D'epidemiologie Et De Sante Publique, 71 Suppl 1: 101425. February 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{chazard_congres_2023,\n\ttitle = {Congrès {Emois} – {Nancy}, 16 et 17 mars 2023},\n\tvolume = {71 Suppl 1},\n\tissn = {0398-7620},\n\tdoi = {10.1016/j.respe.2023.101425},\n\tlanguage = {fre},\n\tjournal = {Revue D'epidemiologie Et De Sante Publique},\n\tauthor = {Chazard, Emmanuel and Bannay, Aurélie and Jay, Nicolas and Chevalier, Stéphanie},\n\tmonth = feb,\n\tyear = {2023},\n\tpmid = {36736041},\n\tpages = {101425},\n}\n\n
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\n \n\n \n \n \n \n \n The Sauvé-Kapandji procedure for post-traumatic distal radioulnar arthrosis: long-term results and analysis of risks factors for revision surgery.\n \n \n \n\n\n \n Deneuville, M.; Germon, C.; Nachef, N. S.; Chazard, E.; Chantelot, C.; and Saab, M.\n\n\n \n\n\n\n Orthopaedics & traumatology, surgery & research: OTSR,103562. January 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{deneuville_sauve-kapandji_2023,\n\ttitle = {The {Sauvé}-{Kapandji} procedure for post-traumatic distal radioulnar arthrosis: long-term results and analysis of risks factors for revision surgery},\n\tissn = {1877-0568},\n\tshorttitle = {The {Sauvé}-{Kapandji} procedure for post-traumatic distal radioulnar arthrosis},\n\tdoi = {10.1016/j.otsr.2023.103562},\n\tabstract = {INTRODUCTION: The Sauvé Kapandji (SKp) procedure is a frequently used surgery for the management of post-traumatic sequelae of the distal radioulnar joint (DRU). Series evaluating long-term outcomes and the risk of complications are rare. The main objective was to describe the long-term clinical and radiographic results after SKp performed in a post-traumatic context. The secondary objectives were to identify postoperative complications, surgical revisions, and their risk factors for occurrence. Our hypothesis was that although SKp confers good clinical results, identifiable risk factors for complications exist.\nPATIENTS AND METHODS: This monocentric retrospective study included all patients for whom an SKp was performed in a post-traumatic context from 2008 to 2018. Pain, satisfaction, range of motion and pre- and postoperative radiographic measurements were recorded. All complications were sought and described, as well as surgical revisions. Several variables were analyzed to identify risk factors for revision surgery after SKp: age, sex, initial traumatic mechanism, initial non-surgical or surgical treatment and type of surgery, time until revision surgery with SKp after the initial trauma.\nRESULTS: Thirty-seven patients were included. At a median follow-up of 9.5 years (min 7.3 - max 11.5), 22 patients (60\\%) had a VAS of 0. Range of motion was significantly improved for all the patients (p{\\textless}0.001). Seventeen (46\\%) patients had a complication, including 5 (13.4\\%) cases of ossification, 4 (10.8\\%) cases of discomfort related to the hardware and 4 (10.8\\%) painful instability at the proximal ulnar stump. Thirteen (35\\%) patients required revision surgery. Two risk factors for revision surgery after SKp were found: time period between initial treatment and SKp of less than 7.2 months and an age of less than 53.5 years; the combination of the two factors having a sensitivity of 97.5 and a specificity of 56.7.\nCONCLUSION: SKp in a post-traumatic context significantly improved range of motion and allowed pain control at long follow-up. Revision surgery seemed more frequent in patients under 53.5 years of age and when SKp was performed less than 7.2 months after the initial trauma.\nLEVEL OF EVIDENCE: IV, retrospective study.},\n\tlanguage = {eng},\n\tjournal = {Orthopaedics \\& traumatology, surgery \\& research: OTSR},\n\tauthor = {Deneuville, Marine and Germon, Charlotte and Nachef, Nadine Sturbois and Chazard, Emmanuel and Chantelot, Christophe and Saab, Marc},\n\tmonth = jan,\n\tyear = {2023},\n\tpmid = {36702297},\n\tkeywords = {Distal radioulnar osteoarthritis, Radioulnar joint, Sauve Kapandji procedure, Wrist},\n\tpages = {103562},\n}\n\n
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\n INTRODUCTION: The Sauvé Kapandji (SKp) procedure is a frequently used surgery for the management of post-traumatic sequelae of the distal radioulnar joint (DRU). Series evaluating long-term outcomes and the risk of complications are rare. The main objective was to describe the long-term clinical and radiographic results after SKp performed in a post-traumatic context. The secondary objectives were to identify postoperative complications, surgical revisions, and their risk factors for occurrence. Our hypothesis was that although SKp confers good clinical results, identifiable risk factors for complications exist. PATIENTS AND METHODS: This monocentric retrospective study included all patients for whom an SKp was performed in a post-traumatic context from 2008 to 2018. Pain, satisfaction, range of motion and pre- and postoperative radiographic measurements were recorded. All complications were sought and described, as well as surgical revisions. Several variables were analyzed to identify risk factors for revision surgery after SKp: age, sex, initial traumatic mechanism, initial non-surgical or surgical treatment and type of surgery, time until revision surgery with SKp after the initial trauma. RESULTS: Thirty-seven patients were included. At a median follow-up of 9.5 years (min 7.3 - max 11.5), 22 patients (60%) had a VAS of 0. Range of motion was significantly improved for all the patients (p\\textless0.001). Seventeen (46%) patients had a complication, including 5 (13.4%) cases of ossification, 4 (10.8%) cases of discomfort related to the hardware and 4 (10.8%) painful instability at the proximal ulnar stump. Thirteen (35%) patients required revision surgery. Two risk factors for revision surgery after SKp were found: time period between initial treatment and SKp of less than 7.2 months and an age of less than 53.5 years; the combination of the two factors having a sensitivity of 97.5 and a specificity of 56.7. CONCLUSION: SKp in a post-traumatic context significantly improved range of motion and allowed pain control at long follow-up. Revision surgery seemed more frequent in patients under 53.5 years of age and when SKp was performed less than 7.2 months after the initial trauma. LEVEL OF EVIDENCE: IV, retrospective study.\n
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\n \n\n \n \n \n \n \n Association Between Sarcopenia and Fracture Risk in a Population From the UK Biobank Database.\n \n \n \n\n\n \n Jauffret, C.; Périchon, R.; Lamer, A.; Cortet, B.; Chazard, E.; and Paccou, J.\n\n\n \n\n\n\n Journal of Bone and Mineral Research: The Official Journal of the American Society for Bone and Mineral Research. July 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{jauffret_association_2023,\n\ttitle = {Association {Between} {Sarcopenia} and {Fracture} {Risk} in a {Population} {From} the {UK} {Biobank} {Database}},\n\tissn = {1523-4681},\n\tdoi = {10.1002/jbmr.4884},\n\tabstract = {Studies on the fracture risk in presarcopenic and sarcopenic patients report contradictory results. The objective was to assess whether presarcopenia and sarcopenia are associated with an increase in fracture risk. We conducted a retrospective study using the UK Biobank cohort and the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was evaluated using hand-grip strength (HGS) and muscle mass using the skeletal muscle index (SMI; from bioimpedance analysis). Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, and sarcopenia as low HGS and low SMI. Fracture events were recorded as "fracture" (location compatible with an osteoporotic origin) and "major osteoporotic fracture" (MOF), as listed in the FRAX tool. Associations were assessed using Cox proportional hazards models, adjusted for sarcopenia and osteoporosis risk factors. Adjusted hazard ratios (HRa ) and their 95\\% confidence intervals (CI) were reported. A total of 387,025 participants (women 54.4\\%; median age 58.0 years; interquartile range [IQR] 51.0-63.0 years) were included. At baseline, there were 18,257 (4.7\\%) presarcopenic participants-subgroup 1 (low HGS only), 7940 (2.1\\%) presarcopenic participants-subgroup 2 (low SMI only), and 1124 (0.3\\%) sarcopenic participants. Over a median follow-up of 12.0 years (IQR 11.4-12.6 years), 18,300 (4.7\\%) participants were diagnosed with at least one incident fracture. Presarcopenic (subgroups 1 and 2) and sarcopenic status were significantly associated with a higher risk of fracture (respectively adjusted HRs: HR = 1.26 [1.19-1.33], HR = 1.20 [1.11-1.30], HR = 1.30 [1.08-1.56]) and with a higher risk of MOF (respectively adjusted HRs: HR = 1.30 [1.21-1.40], HR = 1.19 [1.08-1.72], HR = 1.18 [0.93-1.49]). In a middle-aged population, the fracture and MOF risks were higher in both presarcopenic and sarcopenic participants compared with nonsarcopenic participants. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).},\n\tlanguage = {eng},\n\tjournal = {Journal of Bone and Mineral Research: The Official Journal of the American Society for Bone and Mineral Research},\n\tauthor = {Jauffret, Charlotte and Périchon, Renaud and Lamer, Antoine and Cortet, Bernard and Chazard, Emmanuel and Paccou, Julien},\n\tmonth = jul,\n\tyear = {2023},\n\tpmid = {37458535},\n\tkeywords = {FRACTURES, MUSCLE MASS, MUSCLE STRENGTH, SARCOPENIA, UK BIOBANK},\n}\n\n
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\n Studies on the fracture risk in presarcopenic and sarcopenic patients report contradictory results. The objective was to assess whether presarcopenia and sarcopenia are associated with an increase in fracture risk. We conducted a retrospective study using the UK Biobank cohort and the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was evaluated using hand-grip strength (HGS) and muscle mass using the skeletal muscle index (SMI; from bioimpedance analysis). Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, and sarcopenia as low HGS and low SMI. Fracture events were recorded as \"fracture\" (location compatible with an osteoporotic origin) and \"major osteoporotic fracture\" (MOF), as listed in the FRAX tool. Associations were assessed using Cox proportional hazards models, adjusted for sarcopenia and osteoporosis risk factors. Adjusted hazard ratios (HRa ) and their 95% confidence intervals (CI) were reported. A total of 387,025 participants (women 54.4%; median age 58.0 years; interquartile range [IQR] 51.0-63.0 years) were included. At baseline, there were 18,257 (4.7%) presarcopenic participants-subgroup 1 (low HGS only), 7940 (2.1%) presarcopenic participants-subgroup 2 (low SMI only), and 1124 (0.3%) sarcopenic participants. Over a median follow-up of 12.0 years (IQR 11.4-12.6 years), 18,300 (4.7%) participants were diagnosed with at least one incident fracture. Presarcopenic (subgroups 1 and 2) and sarcopenic status were significantly associated with a higher risk of fracture (respectively adjusted HRs: HR = 1.26 [1.19-1.33], HR = 1.20 [1.11-1.30], HR = 1.30 [1.08-1.56]) and with a higher risk of MOF (respectively adjusted HRs: HR = 1.30 [1.21-1.40], HR = 1.19 [1.08-1.72], HR = 1.18 [0.93-1.49]). In a middle-aged population, the fracture and MOF risks were higher in both presarcopenic and sarcopenic participants compared with nonsarcopenic participants. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).\n
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\n \n\n \n \n \n \n \n Suicide and All-Cause Mortality Within 1 Year After a Suicide Attempt in the VigilanS Cohort.\n \n \n \n\n\n \n Demesmaeker, A.; Amad, A.; Chazard, E.; Demarty, A.; Schlienger, H.; Lehmann, E.; Debien, C.; Jardon, V.; Bounebache, K.; Rey, G.; and Vaiva, G.\n\n\n \n\n\n\n The Journal of Clinical Psychiatry, 84(6): 22m14520. September 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{demesmaeker_suicide_2023,\n\ttitle = {Suicide and {All}-{Cause} {Mortality} {Within} 1 {Year} {After} a {Suicide} {Attempt} in the {VigilanS} {Cohort}},\n\tvolume = {84},\n\tissn = {1555-2101},\n\tdoi = {10.4088/JCP.22m14520},\n\tabstract = {Objective: Obtaining better knowledge on the outcomes of patients who attempt suicide is crucial for suicide prevention. The aim of our study was to determine the causes of death 1 year after a suicide attempt (SA) in the VigilanS program, mortality rates, and risk factors associated with any cause of death and suicide. Methods: A prospective cohort of 7,406 people who had attempted suicide between January 1, 2017, and December 31, 2018, was included in the study. The vital status of each participant was sought, and the cause of death was established through a phone call to their general practitioner or psychiatrist. Second, the relationship between sociodemographic and clinical factors and death by suicide within 1 year of an SA was assessed using a multivariable Cox model. Results: At 1 year, 125 (1.7\\%) participants had died, 77 of whom died by suicide. Half of the deaths occurred within the first 4 months after an SA. Hanging (20.3\\%; 24/125) and self-poisoning (19.5\\%; 23/125) were the methods the most often used for suicide. We demonstrated that male sex (HR = 1.79 [1.13-2.82], P = .01) and being 45 years of age or older (between 45 and 64 years old, HR = 2.08 [1.21-3.56], P {\\textless} .01; 65 years or older, HR = 5.36 [2.72-10.54], P {\\textless} .01) were associated with a higher risk of death by suicide 1 year after an SA and that being younger than 25 years was associated with a lower risk (HR = 0.22 [0.07-0.76], P = .02). Conclusions: One out of 100 people who attempted suicide died by suicide within 1 year after an SA. Greater vigilance is required in the first months following an SA, especially for males older than 45 years. Trial Registration: ClinicalTrials.gov identifier: NCT03134885.},\n\tlanguage = {eng},\n\tnumber = {6},\n\tjournal = {The Journal of Clinical Psychiatry},\n\tauthor = {Demesmaeker, Alice and Amad, Ali and Chazard, Emmanuel and Demarty, Anne-Laure and Schlienger, Honorine and Lehmann, Emma and Debien, Christophe and Jardon, Vincent and Bounebache, Karim and Rey, Gregoire and Vaiva, Guillaume},\n\tmonth = sep,\n\tyear = {2023},\n\tpmid = {37707316},\n\tkeywords = {Humans, Male, Middle Aged, Prospective Studies, Risk Factors, Suicide Prevention, Suicide, Attempted, Wakefulness},\n\tpages = {22m14520},\n}\n\n
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\n Objective: Obtaining better knowledge on the outcomes of patients who attempt suicide is crucial for suicide prevention. The aim of our study was to determine the causes of death 1 year after a suicide attempt (SA) in the VigilanS program, mortality rates, and risk factors associated with any cause of death and suicide. Methods: A prospective cohort of 7,406 people who had attempted suicide between January 1, 2017, and December 31, 2018, was included in the study. The vital status of each participant was sought, and the cause of death was established through a phone call to their general practitioner or psychiatrist. Second, the relationship between sociodemographic and clinical factors and death by suicide within 1 year of an SA was assessed using a multivariable Cox model. Results: At 1 year, 125 (1.7%) participants had died, 77 of whom died by suicide. Half of the deaths occurred within the first 4 months after an SA. Hanging (20.3%; 24/125) and self-poisoning (19.5%; 23/125) were the methods the most often used for suicide. We demonstrated that male sex (HR = 1.79 [1.13-2.82], P = .01) and being 45 years of age or older (between 45 and 64 years old, HR = 2.08 [1.21-3.56], P \\textless .01; 65 years or older, HR = 5.36 [2.72-10.54], P \\textless .01) were associated with a higher risk of death by suicide 1 year after an SA and that being younger than 25 years was associated with a lower risk (HR = 0.22 [0.07-0.76], P = .02). Conclusions: One out of 100 people who attempted suicide died by suicide within 1 year after an SA. Greater vigilance is required in the first months following an SA, especially for males older than 45 years. Trial Registration: ClinicalTrials.gov identifier: NCT03134885.\n
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\n \n\n \n \n \n \n \n Management of medial femorotibial osteoarthritis:Epidemiology, and survival of unicompartmental knee arthroplasty versus valgus high tibial osteotomy in France. Study of 108,007 cases from the French National Hospitals Database.\n \n \n \n\n\n \n Fitoussi, A.; Dartus, J.; Erivan, R.; Pasquier, G.; Migaud, H.; Putman, S.; and Chazard, E.\n\n\n \n\n\n\n Orthopaedics & traumatology, surgery & research: OTSR,103692. September 2023.\n \n\n\n\n
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@article{fitoussi_management_2023,\n\ttitle = {Management of medial femorotibial osteoarthritis:{Epidemiology}, and survival of unicompartmental knee arthroplasty versus valgus high tibial osteotomy in {France}. {Study} of 108,007 cases from the {French} {National} {Hospitals} {Database}},\n\tissn = {1877-0568},\n\tshorttitle = {Management of medial femorotibial osteoarthritis},\n\tdoi = {10.1016/j.otsr.2023.103692},\n\tabstract = {INTRODUCTION: Unicompartmental knee arthroplasty (UKA) and valgus high tibial osteotomy (HTO) are two options for isolated medial femorotibial osteoarthritis in genu varum. In the absence of registries for osteotomies and for arthroplasty in the knee, epidemiological data are hard to obtain in France. We therefore performed a retrospective study, with the aims of 1) estimating UKA and HTO survival without revision by total knee arthroplasty (TKA), and 2) assessing risk factors for revision according to treatment group.\nHYPOTHESIS: Medium-term survival is better with HTO than UKA in under-70 year-olds.\nMATERIALS AND METHOD: All elderly patients undergoing HTO or UKA in the French National Hospitals Database for the period 2011-2020 were included: i.e., 108,007 patients; 43,537 HTO (29,330 male, 14,207 female; mean age 49.7 years, 95\\% CI 49.6-49.8) and 64,470 UKA (31,181 male, 33,289 female; mean age 60.5 years, 95\\% CI 60.5-60.6).\nRESULTS: Survival free of revision by TKA was 75.8\\% (95\\% CI =75.2-76.4) for UKA and 80.6\\% (95\\% CI =80.0-81.3) for HTO (p{\\textless} 0.00001). In UKA, revision risk factors comprised: low annual center volume ({\\textless}17 UKAs per year) (HR=1.50; 95\\% CI=1.41-1.59), obesity (HR=1.25; 95\\% CI=1.18-1.32), and age {\\textless}60 years, with maximum risk for 50-59 years (HR=2.41; 95\\% CI=1.83-3.16 in 50-59 year-olds). In HTO, revision risk factors comprised: obesity (HR=1.42; 95\\% CI=1.31-1.53), rheumatoid arthritis (HR=2.75; 95\\% CI=1.37-5.51), joint chondrocalcinosis (HR=2.01; 95\\% CI=1.18-3.39), and age {\\textgreater}60 years (HR=8.81; 95\\% CI=7.23-19.73 in 60-69 year-olds). Maler gender was a protective factor against revision in both groups: UKA, HR= 0.75 (95\\% CI=0.72-0.79); HTO, HR=0.73 (95\\% CI=0.69-0.77). The number of UKAs increased over the years, matching the increase in arthroplasty in France, with a decrease in HTOs until 2019.\nCONCLUSION: HTO showed better medium-term survival than UKA in under-70 year-olds in France. Even so, indications decreased in favor of UKA, although the respective risk factors differ. These findings suggest that conservative surgery still has a role, depending on osteoarthritis stage.\nLEVEL OF EVIDENCE: III; retrospective comparative study.},\n\tlanguage = {eng},\n\tjournal = {Orthopaedics \\& traumatology, surgery \\& research: OTSR},\n\tauthor = {Fitoussi, Allison and Dartus, Julien and Erivan, Roger and Pasquier, Gilles and Migaud, Henri and Putman, Sophie and Chazard, Emmanuel},\n\tmonth = sep,\n\tyear = {2023},\n\tpmid = {37776952},\n\tkeywords = {Big data, Surgical revision, Survival, Unicompartmental knee arthroplasty, Valgus high tibial osteotomy, big data, surgical revision, survival, unicompartmental knee arthroplasty, valgus high tibial osteotomy},\n\tpages = {103692},\n}\n\n
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\n INTRODUCTION: Unicompartmental knee arthroplasty (UKA) and valgus high tibial osteotomy (HTO) are two options for isolated medial femorotibial osteoarthritis in genu varum. In the absence of registries for osteotomies and for arthroplasty in the knee, epidemiological data are hard to obtain in France. We therefore performed a retrospective study, with the aims of 1) estimating UKA and HTO survival without revision by total knee arthroplasty (TKA), and 2) assessing risk factors for revision according to treatment group. HYPOTHESIS: Medium-term survival is better with HTO than UKA in under-70 year-olds. MATERIALS AND METHOD: All elderly patients undergoing HTO or UKA in the French National Hospitals Database for the period 2011-2020 were included: i.e., 108,007 patients; 43,537 HTO (29,330 male, 14,207 female; mean age 49.7 years, 95% CI 49.6-49.8) and 64,470 UKA (31,181 male, 33,289 female; mean age 60.5 years, 95% CI 60.5-60.6). RESULTS: Survival free of revision by TKA was 75.8% (95% CI =75.2-76.4) for UKA and 80.6% (95% CI =80.0-81.3) for HTO (p\\textless 0.00001). In UKA, revision risk factors comprised: low annual center volume (\\textless17 UKAs per year) (HR=1.50; 95% CI=1.41-1.59), obesity (HR=1.25; 95% CI=1.18-1.32), and age \\textless60 years, with maximum risk for 50-59 years (HR=2.41; 95% CI=1.83-3.16 in 50-59 year-olds). In HTO, revision risk factors comprised: obesity (HR=1.42; 95% CI=1.31-1.53), rheumatoid arthritis (HR=2.75; 95% CI=1.37-5.51), joint chondrocalcinosis (HR=2.01; 95% CI=1.18-3.39), and age \\textgreater60 years (HR=8.81; 95% CI=7.23-19.73 in 60-69 year-olds). Maler gender was a protective factor against revision in both groups: UKA, HR= 0.75 (95% CI=0.72-0.79); HTO, HR=0.73 (95% CI=0.69-0.77). The number of UKAs increased over the years, matching the increase in arthroplasty in France, with a decrease in HTOs until 2019. CONCLUSION: HTO showed better medium-term survival than UKA in under-70 year-olds in France. Even so, indications decreased in favor of UKA, although the respective risk factors differ. These findings suggest that conservative surgery still has a role, depending on osteoarthritis stage. LEVEL OF EVIDENCE: III; retrospective comparative study.\n
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\n \n\n \n \n \n \n \n Migration of di(2-ethylhexyl) phthalate, diisononylcyclohexane-1,2-dicarboxylate and di(2-ethylhexyl) terephthalate from transfusion medical devices in labile blood products: A comparative study.\n \n \n \n\n\n \n Thelliez, A.; Sumian, C.; Chazard, E.; Reichenberg, S.; Lecoeur, M.; and Decaudin, B.\n\n\n \n\n\n\n Vox Sanguinis. May 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{thelliez_migration_2023,\n\ttitle = {Migration of di(2-ethylhexyl) phthalate, diisononylcyclohexane-1,2-dicarboxylate and di(2-ethylhexyl) terephthalate from transfusion medical devices in labile blood products: {A} comparative study},\n\tissn = {1423-0410},\n\tshorttitle = {Migration of di(2-ethylhexyl) phthalate, diisononylcyclohexane-1,2-dicarboxylate and di(2-ethylhexyl) terephthalate from transfusion medical devices in labile blood products},\n\tdoi = {10.1111/vox.13446},\n\tabstract = {BACKGROUND AND OBJECTIVES: Polyvinyl chloride (PVC) plasticized with di(2-ethylhexyl) phthalate (DEHP) is a widely used material for medical transfusion devices. Not covalently bound to PVC, DEHP can migrate into blood products during storage. Recognized as an endocrine disruptor and raising concerns about its potential carcinogenicity and reprotoxicity, DEHP is gradually being withdrawn from the medical device market. Therefore, the use of alternative plasticizers, such as diisononylcyclohexane-1,2-dicarboxylate (DINCH) and di(2-ethylhexyl) terephthalate (DEHT), as potential candidates for the replacement of DEHP in medical transfusion devices has been investigated. The purpose of this study was to evaluate the quantity of PVC-plasticizers in the blood components according to their preparation, storage conditions and in function of the plasticizer.\nMATERIALS AND METHODS: Whole blood was collected, and labile blood products (LBPs) were prepared by the buffy-coat method with a PVC blood bag plasticized either with DEHP, DINCH or DEHT. DINCH and DEHT equivalent concentrations were quantified in LBPs by liquid chromatography-tandem mass spectrometry or coupled with UV and compared to DEHP equivalent concentrations.\nRESULTS: The plasticizer equivalent concentration to which a patient is exposed during a transfusion depends on the preparation of LBPs as well as their storage conditions, that is, temperature and storage time. At day 1, for all LBPs, the migration of DEHP is 5.0 and 8.5 times greater than DINCH and DEHT, respectively. At the end of the 49 days storage period, the DEHP equivalent concentration in red blood cells concentrate is statistically higher when compared to DINCH and DEHT, with maximal values of 1.85, 1.13 and 0.86 μg/dm2 /mL, respectively.\nCONCLUSION: In addition to lower toxicity, transfused patients using PVC-DEHT or PVC-DINCH blood bags are less exposed to plasticizers than using PVC-DEHP bags with a ranging exposure reduction from 38.9\\% to 87.3\\%, due to lower leachability into blood components.},\n\tlanguage = {eng},\n\tjournal = {Vox Sanguinis},\n\tauthor = {Thelliez, Aurélie and Sumian, Chryslain and Chazard, Emmanuel and Reichenberg, Stefan and Lecoeur, Marie and Decaudin, Bertrand},\n\tmonth = may,\n\tyear = {2023},\n\tpmid = {37246454},\n\tkeywords = {2-dicarboxylate, di(2-ethylhexyl) phthalate, di(2-ethylhexyl) terephthalate, diisononylcyclohexane-1, diisononylcyclohexane-1,2-dicarboxylate, labile blood product, metabolites, plasticizer migration},\n}\n\n
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\n BACKGROUND AND OBJECTIVES: Polyvinyl chloride (PVC) plasticized with di(2-ethylhexyl) phthalate (DEHP) is a widely used material for medical transfusion devices. Not covalently bound to PVC, DEHP can migrate into blood products during storage. Recognized as an endocrine disruptor and raising concerns about its potential carcinogenicity and reprotoxicity, DEHP is gradually being withdrawn from the medical device market. Therefore, the use of alternative plasticizers, such as diisononylcyclohexane-1,2-dicarboxylate (DINCH) and di(2-ethylhexyl) terephthalate (DEHT), as potential candidates for the replacement of DEHP in medical transfusion devices has been investigated. The purpose of this study was to evaluate the quantity of PVC-plasticizers in the blood components according to their preparation, storage conditions and in function of the plasticizer. MATERIALS AND METHODS: Whole blood was collected, and labile blood products (LBPs) were prepared by the buffy-coat method with a PVC blood bag plasticized either with DEHP, DINCH or DEHT. DINCH and DEHT equivalent concentrations were quantified in LBPs by liquid chromatography-tandem mass spectrometry or coupled with UV and compared to DEHP equivalent concentrations. RESULTS: The plasticizer equivalent concentration to which a patient is exposed during a transfusion depends on the preparation of LBPs as well as their storage conditions, that is, temperature and storage time. At day 1, for all LBPs, the migration of DEHP is 5.0 and 8.5 times greater than DINCH and DEHT, respectively. At the end of the 49 days storage period, the DEHP equivalent concentration in red blood cells concentrate is statistically higher when compared to DINCH and DEHT, with maximal values of 1.85, 1.13 and 0.86 μg/dm2 /mL, respectively. CONCLUSION: In addition to lower toxicity, transfused patients using PVC-DEHT or PVC-DINCH blood bags are less exposed to plasticizers than using PVC-DEHP bags with a ranging exposure reduction from 38.9% to 87.3%, due to lower leachability into blood components.\n
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\n \n\n \n \n \n \n \n Type 2 diabetics followed up by family physicians: Treatment sequences and changes over time in weight and glycated hemoglobin.\n \n \n \n\n\n \n Boullenger, L.; Quindroit, P.; Legrand, B.; Balcaen, T.; Calafiore, M.; Rochoy, M.; Beuscart, J.; and Chazard, E.\n\n\n \n\n\n\n Primary Care Diabetes,S1751–9918(22)00126–7. July 2022.\n \n\n\n\n
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@article{boullenger_type_2022,\n\ttitle = {Type 2 diabetics followed up by family physicians: {Treatment} sequences and changes over time in weight and glycated hemoglobin},\n\tissn = {1878-0210},\n\tshorttitle = {Type 2 diabetics followed up by family physicians},\n\tdoi = {10.1016/j.pcd.2022.07.002},\n\tabstract = {INTRODUCTION: The treatment of type 2 diabetes mellitus (T2DM) is based on preventive hygiene and dietary measures (HDM), oral antidiabetic drugs (OADs), and insulin. The objective of the present study was to reuse general practice data from electronic health records and describe changes over time among patients with T2DM in primary care.\nMETHODS: We analyzed data on patients with T2DM collected by three family physicians in Tourcoing (France) from 2006 to 2018.\nRESULTS: 403 patients, 1030 treatment sequences, 39,042 appointments, 2440 glycated hemoglobin (HbA1c) measurements, and 9722 wt measurements were included. On inclusion, the mean age was 57.0, the mean weight was 84.4 kg, the mean body mass index was 30.3 kg/m2, and the median HbA1c level was 6.8 \\% (51 mmol/mol). The patients were following appropriate HDM (40.7 \\%) and/or were being treated with OADs (54.1 \\%) or insulin (5.2 \\%). The median length of follow-up was 3.51 years. Overall, bodyweight was stable for two years during HDM and then increased. The HbA1c level decreased and then increased during HDM, was stable on OADs, and then decreased on insulin.\nDISCUSSION/CONCLUSION: The present descriptive results may be of value in helping to predict changes over time in bodyweight and HbA1c in T2DM.},\n\tlanguage = {eng},\n\tjournal = {Primary Care Diabetes},\n\tauthor = {Boullenger, Léna and Quindroit, Paul and Legrand, Bertrand and Balcaen, Thibaut and Calafiore, Matthieu and Rochoy, Michaël and Beuscart, Jean-Baptiste and Chazard, Emmanuel},\n\tmonth = jul,\n\tyear = {2022},\n\tpmid = {35864077},\n\tkeywords = {Data reuse, Electronic health records, General practice, Glycated hemoglobin, Type 2 diabetes mellitus},\n\tpages = {S1751--9918(22)00126--7},\n}\n\n
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\n INTRODUCTION: The treatment of type 2 diabetes mellitus (T2DM) is based on preventive hygiene and dietary measures (HDM), oral antidiabetic drugs (OADs), and insulin. The objective of the present study was to reuse general practice data from electronic health records and describe changes over time among patients with T2DM in primary care. METHODS: We analyzed data on patients with T2DM collected by three family physicians in Tourcoing (France) from 2006 to 2018. RESULTS: 403 patients, 1030 treatment sequences, 39,042 appointments, 2440 glycated hemoglobin (HbA1c) measurements, and 9722 wt measurements were included. On inclusion, the mean age was 57.0, the mean weight was 84.4 kg, the mean body mass index was 30.3 kg/m2, and the median HbA1c level was 6.8 % (51 mmol/mol). The patients were following appropriate HDM (40.7 %) and/or were being treated with OADs (54.1 %) or insulin (5.2 %). The median length of follow-up was 3.51 years. Overall, bodyweight was stable for two years during HDM and then increased. The HbA1c level decreased and then increased during HDM, was stable on OADs, and then decreased on insulin. DISCUSSION/CONCLUSION: The present descriptive results may be of value in helping to predict changes over time in bodyweight and HbA1c in T2DM.\n
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\n \n\n \n \n \n \n \n GPs' interest in integrated care for frail older adults and corresponding consulting and prescribing data: qualitative and quantitative analyses of the PAERPA integrated care project.\n \n \n \n\n\n \n Calafiore, M.; Chazard, E.; Averlant, L.; Ramez, C.; Sarrazin, F.; Leveque, N.; Dambre, D.; Verloop, D.; Defebvre, M.; Di Martino, C.; and Beuscart, J.\n\n\n \n\n\n\n The British Journal of General Practice: The Journal of the Royal College of General Practitioners,BJGP.2021.0626. July 2022.\n \n\n\n\n
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@article{calafiore_gps_2022,\n\ttitle = {{GPs}' interest in integrated care for frail older adults and corresponding consulting and prescribing data: qualitative and quantitative analyses of the {PAERPA} integrated care project},\n\tissn = {1478-5242},\n\tshorttitle = {{GPs}' interest in integrated care for frail older adults and corresponding consulting and prescribing data},\n\tdoi = {10.3399/BJGP.2021.0626},\n\tabstract = {BACKGROUND: Integrated care pathways can help to avoid unnecessary admissions to hospital and improve the overall quality of care for frail older patients. Although these integrated care pathways should be coordinated by GPs their level of commitment may vary.\nAIM: To profile GPs who had participated or had declined to participate in the Personnes Agées En Risque de Perte d'Autonomie (PAERPA) integrated care project (ICP) in the Valenciennois-Quercitain area of France between 2014 and 2019.\nDESIGN AND SETTING: A combined qualitative and quantitative analysis of GPs who were participating in or had declined to participate in the PAERPA ICP.\nMETHOD: Both GPs participating in the ICP and GPs who chose not to participate in the ICP were interviewed, and then consultation and prescription profiles for these two groups were compared.\nRESULTS: Some GPs were interested in the PAERPA ICP, whereas others were opposed. The 48 qualitative interviews revealed four issues that influenced participation in the PAERPA ICP: 1) awareness of issues in care of older adults and the value of collaborative work; 2) time saving; 3) task delegation; and 4) advantages of coordination. The level of interest in the ICP for frail older adults was indirectly reflected by the data on consulting and prescribing. In GPs who participated in the PAERPA ICP there was a greater proportion of older (aged ≥70 years) patients (P{\\textless}0.05), a larger number of consultations per year (P{\\textless}0.05), and a larger number of home visits (P{\\textless}0.01), relative to GPs who declined to participate.\nCONCLUSION: The level of interest in the PAERPA ICP for frail older adults varied widely among GPs. These findings suggest that commitment to an integrated care pathway could be increased by customising the recruitment strategy as a function of the GP's profile.},\n\tlanguage = {eng},\n\tjournal = {The British Journal of General Practice: The Journal of the Royal College of General Practitioners},\n\tauthor = {Calafiore, Matthieu and Chazard, Emmanuel and Averlant, Lorette and Ramez, Claire and Sarrazin, Fanny and Leveque, Nathalie and Dambre, Delphine and Verloop, David and Defebvre, Marguerite-Marie and Di Martino, Carla and Beuscart, Jean-Baptiste},\n\tmonth = jul,\n\tyear = {2022},\n\tpmid = {36192356},\n\tkeywords = {frail older adults, general practice, preventive medicine, primary health care},\n\tpages = {BJGP.2021.0626},\n}\n\n
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\n BACKGROUND: Integrated care pathways can help to avoid unnecessary admissions to hospital and improve the overall quality of care for frail older patients. Although these integrated care pathways should be coordinated by GPs their level of commitment may vary. AIM: To profile GPs who had participated or had declined to participate in the Personnes Agées En Risque de Perte d'Autonomie (PAERPA) integrated care project (ICP) in the Valenciennois-Quercitain area of France between 2014 and 2019. DESIGN AND SETTING: A combined qualitative and quantitative analysis of GPs who were participating in or had declined to participate in the PAERPA ICP. METHOD: Both GPs participating in the ICP and GPs who chose not to participate in the ICP were interviewed, and then consultation and prescription profiles for these two groups were compared. RESULTS: Some GPs were interested in the PAERPA ICP, whereas others were opposed. The 48 qualitative interviews revealed four issues that influenced participation in the PAERPA ICP: 1) awareness of issues in care of older adults and the value of collaborative work; 2) time saving; 3) task delegation; and 4) advantages of coordination. The level of interest in the ICP for frail older adults was indirectly reflected by the data on consulting and prescribing. In GPs who participated in the PAERPA ICP there was a greater proportion of older (aged ≥70 years) patients (P\\textless0.05), a larger number of consultations per year (P\\textless0.05), and a larger number of home visits (P\\textless0.01), relative to GPs who declined to participate. CONCLUSION: The level of interest in the PAERPA ICP for frail older adults varied widely among GPs. These findings suggest that commitment to an integrated care pathway could be increased by customising the recruitment strategy as a function of the GP's profile.\n
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\n \n\n \n \n \n \n \n Data Management for Health Data Reuse: Proposal of a Standard Workflow and a R Tutorial with Jupyter Notebook.\n \n \n \n\n\n \n Lamer, A.; Al Massati, S.; Saint-Dizier, C.; Fares, E.; Chazard, E.; and Fruchart, M.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 298: 82–86. August 2022.\n \n\n\n\n
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@article{lamer_data_2022,\n\ttitle = {Data {Management} for {Health} {Data} {Reuse}: {Proposal} of a {Standard} {Workflow} and a {R} {Tutorial} with {Jupyter} {Notebook}},\n\tvolume = {298},\n\tissn = {1879-8365},\n\tshorttitle = {Data {Management} for {Health} {Data} {Reuse}},\n\tdoi = {10.3233/SHTI220912},\n\tabstract = {The data collected in the clinical registries or by data reuse require some modifications in order to suit the research needs. Several common operations are frequently applied to select relevant patients across the cohort, combine data from multiple sources, add new variables if needed and create unique tables depending on the research purpose. We carried out a qualitative survey by conducting semi-structured interviews with 7 experts in data reuse and proposed a standard workflow for health data management. We implemented a R tutorial based on a synthetic data set using Jupyter Notebook for a better understanding of the data management workflow.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Lamer, Antoine and Al Massati, Sanae and Saint-Dizier, Chloé and Fares, Emile and Chazard, Emmanuel and Fruchart, Mathilde},\n\tmonth = aug,\n\tyear = {2022},\n\tpmid = {36073461},\n\tkeywords = {Data Management, Data Science, Data management, Data reuse, Education, Humans, Programming, Workflow},\n\tpages = {82--86},\n}\n\n
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\n The data collected in the clinical registries or by data reuse require some modifications in order to suit the research needs. Several common operations are frequently applied to select relevant patients across the cohort, combine data from multiple sources, add new variables if needed and create unique tables depending on the research purpose. We carried out a qualitative survey by conducting semi-structured interviews with 7 experts in data reuse and proposed a standard workflow for health data management. We implemented a R tutorial based on a synthetic data set using Jupyter Notebook for a better understanding of the data management workflow.\n
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\n \n\n \n \n \n \n \n Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study.\n \n \n \n\n\n \n Lamer, A.; Fruchart, M.; Paris, N.; Popoff, B.; Payen, A.; Balcaen, T.; Gacquer, W.; Bouzillé, G.; Cuggia, M.; Doutreligne, M.; and Chazard, E.\n\n\n \n\n\n\n JMIR medical informatics, 10(10): e38936. October 2022.\n \n\n\n\n
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@article{lamer_standardized_2022,\n\ttitle = {Standardized {Description} of the {Feature} {Extraction} {Process} to {Transform} {Raw} {Data} {Into} {Meaningful} {Information} for {Enhancing} {Data} {Reuse}: {Consensus} {Study}},\n\tvolume = {10},\n\tissn = {2291-9694},\n\tshorttitle = {Standardized {Description} of the {Feature} {Extraction} {Process} to {Transform} {Raw} {Data} {Into} {Meaningful} {Information} for {Enhancing} {Data} {Reuse}},\n\tdoi = {10.2196/38936},\n\tabstract = {BACKGROUND: Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm.\nOBJECTIVE: The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse.\nMETHODS: This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and secondary use of data; (2) the standardized description of raw data, steps, and transformations, which were common to the study cases; and (3) the identification of an appropriate table to store the features in the Observation Medical Outcomes Partnership (OMOP) common data model (CDM).\nRESULTS: We interviewed 10 researchers from 3 French university hospitals and a national institution, who were involved in 8 retrospective and observational studies. Based on these studies, 2 states (track and feature) and 2 transformations (track definition and track aggregation) emerged. "Track" is a time-dependent signal or period of interest, defined by a statistical unit, a value, and 2 milestones (a start event and an end event). "Feature" is time-independent high-level information with dimensionality identical to the statistical unit of the study, defined by a label and a value. The time dimension has become implicit in the value or name of the variable. We propose the 2 tables "TRACK" and "FEATURE" to store variables obtained in feature extraction and extend the OMOP CDM.\nCONCLUSIONS: We propose a standardized description of the feature extraction process. The process combined the 2 steps of track definition and track aggregation. By dividing the feature extraction into these 2 steps, difficulty was managed during track definition. The standardization of tracks requires great expertise with regard to the data, but allows the application of an infinite number of complex transformations. On the contrary, track aggregation is a very simple operation with a finite number of possibilities. A complete description of these steps could enhance the reproducibility of retrospective studies.},\n\tlanguage = {eng},\n\tnumber = {10},\n\tjournal = {JMIR medical informatics},\n\tauthor = {Lamer, Antoine and Fruchart, Mathilde and Paris, Nicolas and Popoff, Benjamin and Payen, Anaïs and Balcaen, Thibaut and Gacquer, William and Bouzillé, Guillaume and Cuggia, Marc and Doutreligne, Matthieu and Chazard, Emmanuel},\n\tmonth = oct,\n\tyear = {2022},\n\tpmid = {36251369},\n\tpmcid = {PMC9623460},\n\tkeywords = {Observation Medical Outcomes Partnership, algorithm, data reuse, data warehouse, database, feature extraction},\n\tpages = {e38936},\n}\n\n
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\n BACKGROUND: Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm. OBJECTIVE: The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse. METHODS: This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and secondary use of data; (2) the standardized description of raw data, steps, and transformations, which were common to the study cases; and (3) the identification of an appropriate table to store the features in the Observation Medical Outcomes Partnership (OMOP) common data model (CDM). RESULTS: We interviewed 10 researchers from 3 French university hospitals and a national institution, who were involved in 8 retrospective and observational studies. Based on these studies, 2 states (track and feature) and 2 transformations (track definition and track aggregation) emerged. \"Track\" is a time-dependent signal or period of interest, defined by a statistical unit, a value, and 2 milestones (a start event and an end event). \"Feature\" is time-independent high-level information with dimensionality identical to the statistical unit of the study, defined by a label and a value. The time dimension has become implicit in the value or name of the variable. We propose the 2 tables \"TRACK\" and \"FEATURE\" to store variables obtained in feature extraction and extend the OMOP CDM. CONCLUSIONS: We propose a standardized description of the feature extraction process. The process combined the 2 steps of track definition and track aggregation. By dividing the feature extraction into these 2 steps, difficulty was managed during track definition. The standardization of tracks requires great expertise with regard to the data, but allows the application of an infinite number of complex transformations. On the contrary, track aggregation is a very simple operation with a finite number of possibilities. A complete description of these steps could enhance the reproducibility of retrospective studies.\n
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\n \n\n \n \n \n \n \n Author reply to Letter to the Editor regarding 'Suicide mortality after a nonfatal suicide attempt. A systematic review and meta-analysis'.\n \n \n \n\n\n \n Demesmaeker, A.; Chazard, E.; Hoang, A.; Vaiva, G.; and Amad, A.\n\n\n \n\n\n\n The Australian and New Zealand Journal of Psychiatry, 56(12): 1676–1677. December 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@article{demesmaeker_author_2022,\n\ttitle = {Author reply to {Letter} to the {Editor} regarding '{Suicide} mortality after a nonfatal suicide attempt. {A} systematic review and meta-analysis'},\n\tvolume = {56},\n\tissn = {1440-1614},\n\tdoi = {10.1177/00048674221136458},\n\tlanguage = {eng},\n\tnumber = {12},\n\tjournal = {The Australian and New Zealand Journal of Psychiatry},\n\tauthor = {Demesmaeker, Alice and Chazard, Emmanuel and Hoang, Aline and Vaiva, Guillaume and Amad, Ali},\n\tmonth = dec,\n\tyear = {2022},\n\tpmid = {36366799},\n\tkeywords = {Humans, Suicide, Attempted},\n\tpages = {1676--1677},\n}\n\n
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\n \n\n \n \n \n \n \n Formative Assessment of Diagnostic Testing in Family Medicine with Comprehensive MCQ Followed by Certainty-Based Mark.\n \n \n \n\n\n \n Herbaux, C.; Dupré, A.; Rénier, W.; Gabellier, L.; Chazard, E.; Lambert, P.; Sobanski, V.; Gosset, D.; Lacroix, D.; and Truffert, P.\n\n\n \n\n\n\n Healthcare (Basel, Switzerland), 10(8): 1558. August 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@article{herbaux_formative_2022,\n\ttitle = {Formative {Assessment} of {Diagnostic} {Testing} in {Family} {Medicine} with {Comprehensive} {MCQ} {Followed} by {Certainty}-{Based} {Mark}},\n\tvolume = {10},\n\tissn = {2227-9032},\n\tdoi = {10.3390/healthcare10081558},\n\tabstract = {INTRODUCTION: The choice of diagnostic tests in front of a given clinical case is a major part of medical reasoning. Failure to prescribe the right test can lead to serious diagnostic errors. Furthermore, unnecessary medical tests are a waste of money and could possibly generate injuries to patients, especially in family medicine.\nMETHODS: In an effort to improve the training of our students to the choice of laboratory and imaging studies, we implemented a specific multiple-choice questions (MCQ), called comprehensive MCQ (cMCQ), with a fixed and high number of options matching various basic medical tests, followed by a certainty-based mark (CBM). This tool was used in the assessment of diagnostic test choice in various clinical cases of general practice in 456 sixth-year medical students.\nRESULTS: The scores were significantly correlated with the traditional exams (standard MCQ), with matched themes. The proportion of "cMCQ/CBM score" variance explained by "standard MCQ score" was 21.3\\%. The cMCQ placed students in a situation closer to practice reality than standard MCQ. In addition to its usefulness as an assessment tool, those tests had a formative value and allowed students to work on their ability to measure their doubt/certainty in order to develop a reflexive approach, required for their future professional practice.\nCONCLUSION: cMCQ followed by CBM is a feasible and reliable evaluation method for the assessment of diagnostic testing.},\n\tlanguage = {eng},\n\tnumber = {8},\n\tjournal = {Healthcare (Basel, Switzerland)},\n\tauthor = {Herbaux, Charles and Dupré, Aurélie and Rénier, Wendy and Gabellier, Ludovic and Chazard, Emmanuel and Lambert, Philippe and Sobanski, Vincent and Gosset, Didier and Lacroix, Dominique and Truffert, Patrick},\n\tmonth = aug,\n\tyear = {2022},\n\tpmid = {36011215},\n\tkeywords = {diagnostics, education},\n\tpages = {1558},\n}\n\n
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\n INTRODUCTION: The choice of diagnostic tests in front of a given clinical case is a major part of medical reasoning. Failure to prescribe the right test can lead to serious diagnostic errors. Furthermore, unnecessary medical tests are a waste of money and could possibly generate injuries to patients, especially in family medicine. METHODS: In an effort to improve the training of our students to the choice of laboratory and imaging studies, we implemented a specific multiple-choice questions (MCQ), called comprehensive MCQ (cMCQ), with a fixed and high number of options matching various basic medical tests, followed by a certainty-based mark (CBM). This tool was used in the assessment of diagnostic test choice in various clinical cases of general practice in 456 sixth-year medical students. RESULTS: The scores were significantly correlated with the traditional exams (standard MCQ), with matched themes. The proportion of \"cMCQ/CBM score\" variance explained by \"standard MCQ score\" was 21.3%. The cMCQ placed students in a situation closer to practice reality than standard MCQ. In addition to its usefulness as an assessment tool, those tests had a formative value and allowed students to work on their ability to measure their doubt/certainty in order to develop a reflexive approach, required for their future professional practice. CONCLUSION: cMCQ followed by CBM is a feasible and reliable evaluation method for the assessment of diagnostic testing.\n
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\n \n\n \n \n \n \n \n Impact of artificial intelligence in breast cancer screening with mammography.\n \n \n \n\n\n \n Dang, L.; Chazard, E.; Poncelet, E.; Serb, T.; Rusu, A.; Pauwels, X.; Parsy, C.; Poclet, T.; Cauliez, H.; Engelaere, C.; Ramette, G.; Brienne, C.; Dujardin, S.; and Laurent, N.\n\n\n \n\n\n\n Breast Cancer (Tokyo, Japan). June 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{dang_impact_2022,\n\ttitle = {Impact of artificial intelligence in breast cancer screening with mammography},\n\tissn = {1880-4233},\n\tdoi = {10.1007/s12282-022-01375-9},\n\tabstract = {OBJECTIVES: To demonstrate that radiologists, with the help of artificial intelligence (AI), are able to better classify screening mammograms into the correct breast imaging reporting and data system (BI-RADS) category, and as a secondary objective, to explore the impact of AI on cancer detection and mammogram interpretation time.\nMETHODS: A multi-reader, multi-case study with cross-over design, was performed, including 314 mammograms. Twelve radiologists interpreted the examinations in two sessions delayed by a 4 weeks wash-out period with and without AI support. For each breast of each mammogram, they had to mark the most suspicious lesion (if any) and assign it with a forced BI-RADS category and a level of suspicion or "continuous BI-RADS 100". Cohen's kappa correlation coefficient evaluating the inter-observer agreement for BI-RADS category per breast, and the area under the receiver operating characteristic curve (AUC), were used as metrics and analyzed.\nRESULTS: On average, the quadratic kappa coefficient increased significantly when using AI for all readers [κ = 0.549, 95\\% CI (0.528-0.571) without AI and κ = 0.626, 95\\% CI (0.607-0.6455) with AI]. AUC was significantly improved when using AI (0.74 vs 0.77, p = 0.004). Reading time was not significantly affected for all readers (106 s without AI and vs 102 s with AI; p = 0.754).\nCONCLUSIONS: When using AI, radiologists were able to better assign mammograms with the correct BI-RADS category without slowing down the interpretation time.},\n\tlanguage = {eng},\n\tjournal = {Breast Cancer (Tokyo, Japan)},\n\tauthor = {Dang, Lan-Anh and Chazard, Emmanuel and Poncelet, Edouard and Serb, Teodora and Rusu, Aniela and Pauwels, Xavier and Parsy, Clémence and Poclet, Thibault and Cauliez, Hugo and Engelaere, Constance and Ramette, Guillaume and Brienne, Charlotte and Dujardin, Sofiane and Laurent, Nicolas},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35763243},\n\tkeywords = {Artificial intelligence, BI-RADS classification, Breast cancer, Mammography},\n}\n\n
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\n OBJECTIVES: To demonstrate that radiologists, with the help of artificial intelligence (AI), are able to better classify screening mammograms into the correct breast imaging reporting and data system (BI-RADS) category, and as a secondary objective, to explore the impact of AI on cancer detection and mammogram interpretation time. METHODS: A multi-reader, multi-case study with cross-over design, was performed, including 314 mammograms. Twelve radiologists interpreted the examinations in two sessions delayed by a 4 weeks wash-out period with and without AI support. For each breast of each mammogram, they had to mark the most suspicious lesion (if any) and assign it with a forced BI-RADS category and a level of suspicion or \"continuous BI-RADS 100\". Cohen's kappa correlation coefficient evaluating the inter-observer agreement for BI-RADS category per breast, and the area under the receiver operating characteristic curve (AUC), were used as metrics and analyzed. RESULTS: On average, the quadratic kappa coefficient increased significantly when using AI for all readers [κ = 0.549, 95% CI (0.528-0.571) without AI and κ = 0.626, 95% CI (0.607-0.6455) with AI]. AUC was significantly improved when using AI (0.74 vs 0.77, p = 0.004). Reading time was not significantly affected for all readers (106 s without AI and vs 102 s with AI; p = 0.754). CONCLUSIONS: When using AI, radiologists were able to better assign mammograms with the correct BI-RADS category without slowing down the interpretation time.\n
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\n \n\n \n \n \n \n \n Doping with aromatase inhibitors and oestrogen receptor modulators in steroid users: Analysis of a forum to identify dosages, durations and adverse drug reactions.\n \n \n \n\n\n \n Rochoy, M.; Danel, A.; Chazard, E.; Gautier, S.; and Berkhout, C.\n\n\n \n\n\n\n Therapie,S0040–5957(22)00064–6. April 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{rochoy_doping_2022,\n\ttitle = {Doping with aromatase inhibitors and oestrogen receptor modulators in steroid users: {Analysis} of a forum to identify dosages, durations and adverse drug reactions},\n\tissn = {1958-5578},\n\tshorttitle = {Doping with aromatase inhibitors and oestrogen receptor modulators in steroid users},\n\tdoi = {10.1016/j.therap.2022.03.004},\n\tabstract = {INTRODUCTION: Some users of anabolic androgenic steroids (AAS) secretly consume aromatase inhibitors (AI) and selective oestrogen receptor modulators (SERM). Cyber-forums can be potential sources of information. Our aim was to determine the cycles used, and to identify the adverse drug reactions (ADRs) experienced, reported in a bodybuilding forum.\nMETHOD: We collected discussions on a French forum for AAS users (MESO-Rx®), from January 2013 to 2019 on concerning clomiphene, tamoxifen, anastrozole, exemestane and letrozole were collected. Characteristics of the users, duration of cures, treatments, dosages, point of purchase and occurrence of ADRs were analysed.\nRESULTS: Among the 1792 posts published on the forum, 845 concerned SERM and 571 concerned AI, i.e. 2180 drugs used (several cycles included concomitant consumption). Our population was exclusively male, with an average age of 28.2±6.3years, and had been practising weight training for 6.7±5.6years. The SERMs were mainly used to "revive the hypothalamohypophyseal axis" and the AIs to "fight against androgen aromatisation". The median treatment duration was 22 days for SERM, 70days for anastrozole, 84days for exemestane and 30days for letrozole, with a mean dose of 69mg/d for clomiphene, 22mg/d for tamoxifen, 0.4mg/d for anastrozole, 10mg/d for exemestane, 2mg/d for letrozole. The main way of obtaining these drugs was through the internet. 157 ADRs were identified: 95 for SERMs and 62 for AI. The most represented were acne, musculoskeletal, mood and reproductive disorders. Impaired quality of life (according to the patient) was described in 54\\% of the SERM posts and 26\\% of the AI posts.\nCONCLUSIONS: Patient narratives posted on forums can be a useful tool in the context of doping, to better understand practices, motivations and possibly to bring up pharmacovigilance signals.},\n\tlanguage = {eng},\n\tjournal = {Therapie},\n\tauthor = {Rochoy, Michaël and Danel, Antoine and Chazard, Emmanuel and Gautier, Sophie and Berkhout, Christophe},\n\tmonth = apr,\n\tyear = {2022},\n\tpmid = {35660259},\n\tkeywords = {Aromatase inhibitors, Doping, Forums, Oestrogen receptor modulators, Pharmacovigilance},\n\tpages = {S0040--5957(22)00064--6},\n}\n\n
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\n INTRODUCTION: Some users of anabolic androgenic steroids (AAS) secretly consume aromatase inhibitors (AI) and selective oestrogen receptor modulators (SERM). Cyber-forums can be potential sources of information. Our aim was to determine the cycles used, and to identify the adverse drug reactions (ADRs) experienced, reported in a bodybuilding forum. METHOD: We collected discussions on a French forum for AAS users (MESO-Rx®), from January 2013 to 2019 on concerning clomiphene, tamoxifen, anastrozole, exemestane and letrozole were collected. Characteristics of the users, duration of cures, treatments, dosages, point of purchase and occurrence of ADRs were analysed. RESULTS: Among the 1792 posts published on the forum, 845 concerned SERM and 571 concerned AI, i.e. 2180 drugs used (several cycles included concomitant consumption). Our population was exclusively male, with an average age of 28.2±6.3years, and had been practising weight training for 6.7±5.6years. The SERMs were mainly used to \"revive the hypothalamohypophyseal axis\" and the AIs to \"fight against androgen aromatisation\". The median treatment duration was 22 days for SERM, 70days for anastrozole, 84days for exemestane and 30days for letrozole, with a mean dose of 69mg/d for clomiphene, 22mg/d for tamoxifen, 0.4mg/d for anastrozole, 10mg/d for exemestane, 2mg/d for letrozole. The main way of obtaining these drugs was through the internet. 157 ADRs were identified: 95 for SERMs and 62 for AI. The most represented were acne, musculoskeletal, mood and reproductive disorders. Impaired quality of life (according to the patient) was described in 54% of the SERM posts and 26% of the AI posts. CONCLUSIONS: Patient narratives posted on forums can be a useful tool in the context of doping, to better understand practices, motivations and possibly to bring up pharmacovigilance signals.\n
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\n \n\n \n \n \n \n \n \"Book Music\" Representation for Temporal Data, as a Part of the Feature Extraction Process: A Novel Approach to Improve the Handling of Time-Dependent Data in Secondary Use of Healthcare Structured Data.\n \n \n \n\n\n \n Chazard, E.; Balaye, P.; Balcaen, T.; Genin, M.; Cuggia, M.; Bouzille, G.; and Lamer, A.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 290: 567–571. June 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@article{chazard_book_2022,\n\ttitle = {"{Book} {Music}" {Representation} for {Temporal} {Data}, as a {Part} of the {Feature} {Extraction} {Process}: {A} {Novel} {Approach} to {Improve} the {Handling} of {Time}-{Dependent} {Data} in {Secondary} {Use} of {Healthcare} {Structured} {Data}},\n\tvolume = {290},\n\tissn = {1879-8365},\n\tshorttitle = {"{Book} {Music}" {Representation} for {Temporal} {Data}, as a {Part} of the {Feature} {Extraction} {Process}},\n\tdoi = {10.3233/SHTI220141},\n\tabstract = {Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the "true" value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The "book music" approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Chazard, Emmanuel and Balaye, Pierre and Balcaen, Thibaut and Genin, Michaël and Cuggia, Marc and Bouzille, Guillaume and Lamer, Antoine},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35673080},\n\tkeywords = {Data reuse, feature extraction, survival analyses},\n\tpages = {567--571},\n}\n\n
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\n Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the \"true\" value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The \"book music\" approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.\n
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\n \n\n \n \n \n \n \n \"Re-Materialized\" Medical Data: Paper-Based Transmission of Structured Medical Data Using QR-Code, for Medical Imaging Reports.\n \n \n \n\n\n \n Lauriot Dit Prevost, A.; Bentegeac, R.; Dequesnes, A.; Billiau, A.; Baudelet, E.; Legleye, R.; Hubaut, M.; Cassagnou, M.; Puech, P.; Besson, R.; and Chazard, E.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 290: 210–214. June 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@article{lauriot_dit_prevost_re-materialized_2022,\n\ttitle = {"{Re}-{Materialized}" {Medical} {Data}: {Paper}-{Based} {Transmission} of {Structured} {Medical} {Data} {Using} {QR}-{Code}, for {Medical} {Imaging} {Reports}},\n\tvolume = {290},\n\tissn = {1879-8365},\n\tshorttitle = {"{Re}-{Materialized}" {Medical} {Data}},\n\tdoi = {10.3233/SHTI220063},\n\tabstract = {Although paper-based transmission of medical information might seem outdated, it has proven efficient, and remains structurally safe from massive data leaks. As part of the ICIPEMIR project for improving medical imaging report, we explored the idea of structured data storage within a medical report, by embedding the data themselves in a QR-Code (and no URL-to-the-data). Three different datasets from ICIPEMIR were serialized, then encoded in a QR-Code. We compared 4 compression algorithms to reduce file size before QR-Encoding. YAML was the most concise format (character sparing), and allowed for embedding of a 2633-character serialized file within a QR-Code. The best compression rate was obtained with gzip, with a compression ratio of 2.32 in 15.7ms. Data were easily extracted and decompressed from a digital QR-Code using a simple command line. YAML file was also successfully recovered from the printed QR-Code with both Android and iOS smartphone. Minimal detected size was 3*3cm.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Lauriot Dit Prevost, Arthur and Bentegeac, Raphaël and Dequesnes, Audrey and Billiau, Adrien and Baudelet, Emmanuel and Legleye, Rémi and Hubaut, Marc-Antoine and Cassagnou, Michel and Puech, Philippe and Besson, Rémi and Chazard, Emmanuel},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35673002},\n\tkeywords = {Data Collection, Data Compression, Health Information Exchange},\n\tpages = {210--214},\n}\n\n
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\n Although paper-based transmission of medical information might seem outdated, it has proven efficient, and remains structurally safe from massive data leaks. As part of the ICIPEMIR project for improving medical imaging report, we explored the idea of structured data storage within a medical report, by embedding the data themselves in a QR-Code (and no URL-to-the-data). Three different datasets from ICIPEMIR were serialized, then encoded in a QR-Code. We compared 4 compression algorithms to reduce file size before QR-Encoding. YAML was the most concise format (character sparing), and allowed for embedding of a 2633-character serialized file within a QR-Code. The best compression rate was obtained with gzip, with a compression ratio of 2.32 in 15.7ms. Data were easily extracted and decompressed from a digital QR-Code using a simple command line. YAML file was also successfully recovered from the printed QR-Code with both Android and iOS smartphone. Minimal detected size was 3*3cm.\n
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\n \n\n \n \n \n \n \n Awareness and Perception of Google® Reviews Among French GPs.\n \n \n \n\n\n \n Kerisit, E.; Legrand, B.; Calafiore, M.; Rochoy, M.; Chazard, E.; Marcilly, R.; and Lamer, A.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 290: 1118–1119. June 2022.\n \n\n\n\n
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@article{kerisit_awareness_2022,\n\ttitle = {Awareness and {Perception} of {Google}® {Reviews} {Among} {French} {GPs}},\n\tvolume = {290},\n\tissn = {1879-8365},\n\tdoi = {10.3233/SHTI220296},\n\tabstract = {The objective of this study was to assess the perception of French general practitioners (GPs) and the impact of the Google® online physician rating system. We questioned the French GPs with a self-administered questionnaire. A total of 412 GPs had answered the complete questionnaire. 83.25\\% of respondents did not validate the relevance of the physician rating websites. The most decried limitations were the lack of validity of these opinions and the negative impact on physicians.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Kerisit, Erwan and Legrand, Bertrand and Calafiore, Matthieu and Rochoy, Michaël and Chazard, Emmanuel and Marcilly, Romaric and Lamer, Antoine},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35673234},\n\tkeywords = {General Practitioners, Internet, Physician rating websites},\n\tpages = {1118--1119},\n}\n\n
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\n The objective of this study was to assess the perception of French general practitioners (GPs) and the impact of the Google® online physician rating system. We questioned the French GPs with a self-administered questionnaire. A total of 412 GPs had answered the complete questionnaire. 83.25% of respondents did not validate the relevance of the physician rating websites. The most decried limitations were the lack of validity of these opinions and the negative impact on physicians.\n
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\n \n\n \n \n \n \n \n Artificial Intelligence and Clinical Decision Support Systems or Automated Interpreters: What Characteristics Are Expected by French General Practitioners?.\n \n \n \n\n\n \n Tabla, S.; Calafiore, M.; Legrand, B.; Descamps, A.; Andre, C.; Rochoy, M.; and Chazard, E.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 290: 887–891. June 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{tabla_artificial_2022,\n\ttitle = {Artificial {Intelligence} and {Clinical} {Decision} {Support} {Systems} or {Automated} {Interpreters}: {What} {Characteristics} {Are} {Expected} by {French} {General} {Practitioners}?},\n\tvolume = {290},\n\tissn = {1879-8365},\n\tshorttitle = {Artificial {Intelligence} and {Clinical} {Decision} {Support} {Systems} or {Automated} {Interpreters}},\n\tdoi = {10.3233/SHTI220207},\n\tabstract = {Development of artificial intelligence (AI) modules should rely on technical progress, but also on users' needs. Our objective is to identify criteria that make a hypothetical AI module desirable for general practitioners (GPs). Method: random selection of 200 French GPs, and paper-based questionnaire. Results: the population was representative. GPs expect AI modules to diagnose or eliminate an urgent pathology for which they are not competent and for which specialists are not available. They also demand interoperability, automated electronic health record integration and facilitated information sharing. GPs would like AI modules to make them save time, simplify some procedures and delegate tasks to the secretary. They expect AI modules to allow them to associate the patient with the care, to reassure him or her, and to personalize the care. Interestingly, GPs would also rely on a machine to cut off abusive requests, such as work stoppages or certificates of convenience.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Tabla, Smaïn and Calafiore, Matthieu and Legrand, Bertrand and Descamps, Axel and Andre, Charlotte and Rochoy, Michaël and Chazard, Emmanuel},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35673146},\n\tkeywords = {Artificial intelligence, automated diagnosis, computerized interpreter, usability},\n\tpages = {887--891},\n}\n\n
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\n Development of artificial intelligence (AI) modules should rely on technical progress, but also on users' needs. Our objective is to identify criteria that make a hypothetical AI module desirable for general practitioners (GPs). Method: random selection of 200 French GPs, and paper-based questionnaire. Results: the population was representative. GPs expect AI modules to diagnose or eliminate an urgent pathology for which they are not competent and for which specialists are not available. They also demand interoperability, automated electronic health record integration and facilitated information sharing. GPs would like AI modules to make them save time, simplify some procedures and delegate tasks to the secretary. They expect AI modules to allow them to associate the patient with the care, to reassure him or her, and to personalize the care. Interestingly, GPs would also rely on a machine to cut off abusive requests, such as work stoppages or certificates of convenience.\n
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\n  \n 2017\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Évolution de la prise en charge médicamenteuse de la maladie d’Alzheimer en EHPAD : impact de la campagne médiatique contre les médicaments spécifiques de la maladie d’Alzheimer.\n \n \n \n \n\n\n \n Petit, A. -.; Mangeard, H.; Chazard, E.; and Puisieux, F.\n\n\n \n\n\n\n L'Encéphale, 43(1): 21–26. February 2017.\n \n\n\n\n
\n\n\n\n \n \n \"ÉvolutionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{petit_evolution_2017,\n\ttitle = {Évolution de la prise en charge médicamenteuse de la maladie d’{Alzheimer} en {EHPAD} : impact de la campagne médiatique contre les médicaments spécifiques de la maladie d’{Alzheimer}},\n\tvolume = {43},\n\tissn = {0013-7006},\n\tshorttitle = {Évolution de la prise en charge médicamenteuse de la maladie d’{Alzheimer} en {EHPAD}},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0013700616000452},\n\tdoi = {10.1016/j.encep.2015.03.006},\n\tabstract = {Résumé\nLa maladie d’Alzheimer est une pathologie dont l’évolution est constamment défavorable et pour laquelle les traitements spécifiques sont sujets à polémique. La commission de la transparence de la Haute Autorité de santé (HAS) a rétrogradé leur service médical rendu en octobre 2011, le considérant comme faible. Notre étude, rétrospective, descriptive, transversale à 3 temps (T0 janvier 2011, T1 octobre 2011 et T2 juin 2012), a été menée au sein de 6 établissements d’hébergement pour personnes âgées dépendantes (EHPAD) de la métropole lilloise et a inclus 262 résidents. Son but était d’évaluer l’évolution de la consommation des traitements spécifiques de la maladie d’Alzheimer, mais aussi l’évolution de la qualité du suivi en consultation mémoire. Notre travail n’a pas montré d’impact majeur de la campagne médiatique contre les médicaments spécifiques de la maladie d’Alzheimer. Il existe néanmoins une tendance à la diminution de leur consommation chez les résidents déments en EHPAD, sans lien évident entre suivi en consultation spécialisée et prescription spécifique. Cette tendance demanderait à être confirmée par une étude de plus grande ampleur.\nContext\nAlzheimer's disease is a common disease in nursing homes. Evolution is constantly negative and specific treatments, which are only symptomatic, are subject to controversy. In a context of media exposure, the Transparency Committee of the Haute Autorité de santé (HAS) downgraded their medical service in October 2011, seeing it as weak.\nAim\nAssess the evolution of the consumption of specific treatments for Alzheimer's disease; assess changes in the quality of monitoring in specific consultation.\nMethods\nThis is a retrospective and descriptive study, cross-sectional in three times (T0 January 2011, T1 October 2011 and T2 June 2012), in 6 nursing homes of Lille and its surroundings.\nResults\nIn total, 262 residents with dementia and present at least once during the three times of the study were included. Their mean age was 85.8 years. Among them, 40 \\% had Alzheimer's disease clearly identified. At T0, 76.7 \\% of patients present who were supposed to receive a specific treatment of Alzheimer's disease were actually receiving such treatment, 73.6 \\% at T1 and 71.6 \\% at T2. After 17 months of observation, the discontinuation rate of anticholinesterase was 34 \\%, 24 \\% for anti-glutamate. The monitoring in specific consultations decreased slightly between the three stages.\nConclusion\nOur work did not show major impact of the media campaign against specific drugs for Alzheimer's disease. There is however a trend towards a decrease of their consumption in people with dementia living in nursing homes with no obvious link between monitoring in specific consultation and specific prescription. This trend would ask to be confirmed by a study on a larger scale.},\n\tlanguage = {fr},\n\tnumber = {1},\n\turldate = {2022-06-17},\n\tjournal = {L'Encéphale},\n\tauthor = {Petit, A. -E. and Mangeard, H. and Chazard, E. and Puisieux, F.},\n\tmonth = feb,\n\tyear = {2017},\n\tkeywords = {Alzheimer's disease, Anti-cholinestérasiques, Cholinesterase inhibitors, EHPAD, Maladie d’Alzheimer, Nursing home},\n\tpages = {21--26},\n}\n\n
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\n Résumé La maladie d’Alzheimer est une pathologie dont l’évolution est constamment défavorable et pour laquelle les traitements spécifiques sont sujets à polémique. La commission de la transparence de la Haute Autorité de santé (HAS) a rétrogradé leur service médical rendu en octobre 2011, le considérant comme faible. Notre étude, rétrospective, descriptive, transversale à 3 temps (T0 janvier 2011, T1 octobre 2011 et T2 juin 2012), a été menée au sein de 6 établissements d’hébergement pour personnes âgées dépendantes (EHPAD) de la métropole lilloise et a inclus 262 résidents. Son but était d’évaluer l’évolution de la consommation des traitements spécifiques de la maladie d’Alzheimer, mais aussi l’évolution de la qualité du suivi en consultation mémoire. Notre travail n’a pas montré d’impact majeur de la campagne médiatique contre les médicaments spécifiques de la maladie d’Alzheimer. Il existe néanmoins une tendance à la diminution de leur consommation chez les résidents déments en EHPAD, sans lien évident entre suivi en consultation spécialisée et prescription spécifique. Cette tendance demanderait à être confirmée par une étude de plus grande ampleur. Context Alzheimer's disease is a common disease in nursing homes. Evolution is constantly negative and specific treatments, which are only symptomatic, are subject to controversy. In a context of media exposure, the Transparency Committee of the Haute Autorité de santé (HAS) downgraded their medical service in October 2011, seeing it as weak. Aim Assess the evolution of the consumption of specific treatments for Alzheimer's disease; assess changes in the quality of monitoring in specific consultation. Methods This is a retrospective and descriptive study, cross-sectional in three times (T0 January 2011, T1 October 2011 and T2 June 2012), in 6 nursing homes of Lille and its surroundings. Results In total, 262 residents with dementia and present at least once during the three times of the study were included. Their mean age was 85.8 years. Among them, 40 % had Alzheimer's disease clearly identified. At T0, 76.7 % of patients present who were supposed to receive a specific treatment of Alzheimer's disease were actually receiving such treatment, 73.6 % at T1 and 71.6 % at T2. After 17 months of observation, the discontinuation rate of anticholinesterase was 34 %, 24 % for anti-glutamate. The monitoring in specific consultations decreased slightly between the three stages. Conclusion Our work did not show major impact of the media campaign against specific drugs for Alzheimer's disease. There is however a trend towards a decrease of their consumption in people with dementia living in nursing homes with no obvious link between monitoring in specific consultation and specific prescription. This trend would ask to be confirmed by a study on a larger scale.\n
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\n  \n 2016\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n The risks of pulmonary embolism and upper gastrointestinal bleeding beyond 35days after total hip replacement for coxarthrosis among middle-aged patients: A cross-over cohort.\n \n \n \n\n\n \n Ficheur, G.; Caron, A.; Beuscart, J.; Ferret, L.; Putman, S.; Beuscart, R.; and Chazard, E.\n\n\n \n\n\n\n Preventive Medicine, 93: 121–127. December 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{ficheur_risks_2016,\n\ttitle = {The risks of pulmonary embolism and upper gastrointestinal bleeding beyond 35days after total hip replacement for coxarthrosis among middle-aged patients: {A} cross-over cohort},\n\tvolume = {93},\n\tissn = {1096-0260},\n\tshorttitle = {The risks of pulmonary embolism and upper gastrointestinal bleeding beyond 35days after total hip replacement for coxarthrosis among middle-aged patients},\n\tdoi = {10.1016/j.ypmed.2016.09.010},\n\tabstract = {Prophylactic anticoagulation is recommended up to 35days after total hip replacement (THR). Although several observational studies have assessed the incidence of thrombotic events or bleeding events after THR, the corresponding measures of association have never been studied concomitantly. Here, we evaluated the duration of the elevated risks (relative to the baseline risk) of both venous thromboembolic events and bleeding events after THR for coxarthrosis among middle-aged patients. This was a population-based, cross-over cohort study of data extracted from the French national inpatient database between 2007 and 2013. We included middle-aged patients (aged 45 to 69) having undergone THR for coxarthrosis. We compared the numbers of pulmonary embolisms (PEs) (respectively upper gastrointestinal bleedings (UGIBs)) following the THR with the numbers occurring during three unexposed periods one year later. This enabled us to estimate the odds ratio (OR) [95\\% confidence interval (CI)] for each of six successive 35-day intervals. The study included 108,099 patients. The ORs for PE were respectively 12.4 (95\\% CI, 8.6-17.8) (absolute risk difference rate per 100,000 (ARD/100,000)=130) and 5.0 (95\\% CI, 3.4-7.4) (ARD/100,000=52) for the first two 35-day intervals, and the risk was close to 1 thereafter. The risk of UGIB fell quickly, with an OR of 6.5 (95\\% CI, 4.6-9.1) (ARD/100,000=83) and 0.8 (95\\% CI, 0.4-1.6) for the first two 35-day intervals, respectively. The majority of UGIBs occurred during the inpatient stay for THR. Among middle-aged patients, the risk of a PE remains elevated beyond 35days after THR for coxarthrosis, whereas the risk of a UGIB remains elevated for the first 35days only.},\n\tlanguage = {eng},\n\tjournal = {Preventive Medicine},\n\tauthor = {Ficheur, Grégoire and Caron, Alexandre and Beuscart, Jean-Baptiste and Ferret, Laurie and Putman, Sophie and Beuscart, Régis and Chazard, Emmanuel},\n\tmonth = dec,\n\tyear = {2016},\n\tpmid = {27612575},\n\tkeywords = {Arthroplasty, Replacement, Hip, Bleeding event, Cohort Studies, Cross-Over Studies, Female, Hemorrhage, Humans, Incidence, Male, Middle Aged, Osteoarthritis, Hip, Patient Safety, Patient safety, Postoperative Complications, Pulmonary Embolism, Risk Factors, Time Factors, Total hip arthroplasty, Total hip replacement, United States, Venous Thromboembolism, Venous thromboembolic event, patient safety},\n\tpages = {121--127},\n}\n\n
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\n Prophylactic anticoagulation is recommended up to 35days after total hip replacement (THR). Although several observational studies have assessed the incidence of thrombotic events or bleeding events after THR, the corresponding measures of association have never been studied concomitantly. Here, we evaluated the duration of the elevated risks (relative to the baseline risk) of both venous thromboembolic events and bleeding events after THR for coxarthrosis among middle-aged patients. This was a population-based, cross-over cohort study of data extracted from the French national inpatient database between 2007 and 2013. We included middle-aged patients (aged 45 to 69) having undergone THR for coxarthrosis. We compared the numbers of pulmonary embolisms (PEs) (respectively upper gastrointestinal bleedings (UGIBs)) following the THR with the numbers occurring during three unexposed periods one year later. This enabled us to estimate the odds ratio (OR) [95% confidence interval (CI)] for each of six successive 35-day intervals. The study included 108,099 patients. The ORs for PE were respectively 12.4 (95% CI, 8.6-17.8) (absolute risk difference rate per 100,000 (ARD/100,000)=130) and 5.0 (95% CI, 3.4-7.4) (ARD/100,000=52) for the first two 35-day intervals, and the risk was close to 1 thereafter. The risk of UGIB fell quickly, with an OR of 6.5 (95% CI, 4.6-9.1) (ARD/100,000=83) and 0.8 (95% CI, 0.4-1.6) for the first two 35-day intervals, respectively. The majority of UGIBs occurred during the inpatient stay for THR. Among middle-aged patients, the risk of a PE remains elevated beyond 35days after THR for coxarthrosis, whereas the risk of a UGIB remains elevated for the first 35days only.\n
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\n  \n 2015\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Process assessment by automated computation of healthcare quality indicators in hospital electronic health records: a systematic review of indicators.\n \n \n \n \n\n\n \n Chazard, E.; Babaousmail, D.; Schaffar, A.; Ficheur, G.; and Beuscart, R.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 210: 867–871. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ProcessPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{chazard_process_2015,\n\ttitle = {Process assessment by automated computation of healthcare quality indicators in hospital electronic health records: a systematic review of indicators},\n\tvolume = {210},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\tshorttitle = {Process assessment by automated computation of healthcare quality indicators in hospital electronic health records},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2015_mie_automatedprocessindicatorcomputation.pdf},\n\tabstract = {The objective of the work is to extract healthcare process quality indicators from the literature, and to evaluate which of them could be automatically computed using routinely collected data from electronic health records (EHRs). A minimal set of data commonly available in EHRs is first defined. The initial bibliographic query enables to identify 8,744 papers, among which 126 papers describe 440 process indicators. 22.3\\% of indicators can be automatically computed. The computation of the indicators mostly require diagnoses (99\\%), drug prescriptions (59\\%), medical procedures (48\\%), administrative data (30\\%), laboratory results (20\\%), free-text reports with basic keyword research (19\\%), linkage with the patient's previous stays (11\\%) and dependence assessment (3\\%). 77.7\\% of indicators cannot be automatically computed, mostly because they require a linkage with outpatient data (61\\%), structured data that are usually not available (43\\%), unstructured data (26\\%) or the trace of an information that was given to the patient (8\\%).},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Chazard, Emmanuel and Babaousmail, Djaber and Schaffar, Aurélien and Ficheur, Grégoire and Beuscart, Régis},\n\tyear = {2015},\n\tpmid = {25991279},\n\tpages = {867--871},\n}\n\n
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\n The objective of the work is to extract healthcare process quality indicators from the literature, and to evaluate which of them could be automatically computed using routinely collected data from electronic health records (EHRs). A minimal set of data commonly available in EHRs is first defined. The initial bibliographic query enables to identify 8,744 papers, among which 126 papers describe 440 process indicators. 22.3% of indicators can be automatically computed. The computation of the indicators mostly require diagnoses (99%), drug prescriptions (59%), medical procedures (48%), administrative data (30%), laboratory results (20%), free-text reports with basic keyword research (19%), linkage with the patient's previous stays (11%) and dependence assessment (3%). 77.7% of indicators cannot be automatically computed, mostly because they require a linkage with outpatient data (61%), structured data that are usually not available (43%), unstructured data (26%) or the trace of an information that was given to the patient (8%).\n
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\n \n\n \n \n \n \n \n An original imputation technique of missing data for assessing exposure of newborns to perchlorate in drinking water.\n \n \n \n\n\n \n Caron, A.; Clement, G.; Heyman, C.; Aernout, E.; Chazard, E.; and Le Tertre, A.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 210: 860–864. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{caron_original_2015,\n\ttitle = {An original imputation technique of missing data for assessing exposure of newborns to perchlorate in drinking water},\n\tvolume = {210},\n\tissn = {0926-9630},\n\tabstract = {INTRODUCTION: Incompleteness of epidemiological databases is a major drawback when it comes to analyzing data. We conceived an epidemiological study to assess the association between newborn thyroid function and the exposure to perchlorates found in the tap water of the mother's home. Only 9\\% of newborn's exposure to perchlorate was known. The aim of our study was to design, test and evaluate an original method for imputing perchlorate exposure of newborns based on their maternity of birth.\nMETHODS: In a first database, an exhaustive collection of newborn's thyroid function measured during a systematic neonatal screening was collected. In this database the municipality of residence of the newborn's mother was only available for 2012. Between 2004 and 2011, the closest data available was the municipality of the maternity of birth. Exposure was assessed using a second database which contained the perchlorate levels for each municipality. We computed the catchment area of every maternity ward based on the French nationwide exhaustive database of inpatient stay. Municipality, and consequently perchlorate exposure, was imputed by a weighted draw in the catchment area. Missing values for remaining covariates were imputed by chained equation. A linear mixture model was computed on each imputed dataset. We compared odds ratios (ORs) and 95\\% confidence intervals (95\\% CI) estimated on real versus imputed 2012 data. The same model was then carried out for the whole imputed database.\nRESULTS: The ORs estimated on 36,695 observations by our multiple imputation method are comparable to the real 2012 data. On the 394,979 observations of the whole database, the ORs remain stable but the 95\\% CI tighten considerably.\nDISCUSSION: The model estimates computed on imputed data are similar to those calculated on real data. The main advantage of multiple imputation is to provide unbiased estimate of the ORs while maintaining their variances. Thus, our method will be used to increase the statistical power of future studies by including all 394,979 newborns.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Caron, Alexandre and Clement, Guillaume and Heyman, Christophe and Aernout, Eva and Chazard, Emmanuel and Le Tertre, Alain},\n\tyear = {2015},\n\tpmid = {25991277},\n\tkeywords = {Adolescent, Adult, Computer Simulation, Drinking Water, Environmental Exposure, Female, France, Humans, Infant, Newborn, Infant, Newborn, Diseases, Middle Aged, Models, Statistical, Perchlorates, Pregnancy, Prenatal Exposure Delayed Effects, Prevalence, Reproducibility of Results, Risk Assessment, Sample Size, Sensitivity and Specificity, Thyroid Diseases, Treatment Outcome, Water Pollutants, Chemical, Water Pollution, Chemical, Young Adult},\n\tpages = {860--864},\n}\n\n
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\n INTRODUCTION: Incompleteness of epidemiological databases is a major drawback when it comes to analyzing data. We conceived an epidemiological study to assess the association between newborn thyroid function and the exposure to perchlorates found in the tap water of the mother's home. Only 9% of newborn's exposure to perchlorate was known. The aim of our study was to design, test and evaluate an original method for imputing perchlorate exposure of newborns based on their maternity of birth. METHODS: In a first database, an exhaustive collection of newborn's thyroid function measured during a systematic neonatal screening was collected. In this database the municipality of residence of the newborn's mother was only available for 2012. Between 2004 and 2011, the closest data available was the municipality of the maternity of birth. Exposure was assessed using a second database which contained the perchlorate levels for each municipality. We computed the catchment area of every maternity ward based on the French nationwide exhaustive database of inpatient stay. Municipality, and consequently perchlorate exposure, was imputed by a weighted draw in the catchment area. Missing values for remaining covariates were imputed by chained equation. A linear mixture model was computed on each imputed dataset. We compared odds ratios (ORs) and 95% confidence intervals (95% CI) estimated on real versus imputed 2012 data. The same model was then carried out for the whole imputed database. RESULTS: The ORs estimated on 36,695 observations by our multiple imputation method are comparable to the real 2012 data. On the 394,979 observations of the whole database, the ORs remain stable but the 95% CI tighten considerably. DISCUSSION: The model estimates computed on imputed data are similar to those calculated on real data. The main advantage of multiple imputation is to provide unbiased estimate of the ORs while maintaining their variances. Thus, our method will be used to increase the statistical power of future studies by including all 394,979 newborns.\n
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\n \n\n \n \n \n \n \n \n EpiHosp: A web-based visualization tool enabling the exploratory analysis of complications of implantable medical devices from a nationwide hospital database.\n \n \n \n \n\n\n \n Ficheur, G.; Ferreira Careira, L.; Beuscart, R.; and Chazard, E.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 210: 409–413. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"EpiHosp:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ficheur_epihosp_2015,\n\ttitle = {{EpiHosp}: {A} web-based visualization tool enabling the exploratory analysis of complications of implantable medical devices from a nationwide hospital database},\n\tvolume = {210},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\tshorttitle = {{EpiHosp}},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2015_mie_epihosp.pdf},\n\tabstract = {Administrative data can be used for the surveillance of the outcomes of implantable medical devices (IMDs). The objective of this work is to build a web-based tool allowing for an exploratory analysis of time-dependent events that may occur after the implementation of an IMD. This tool should enable a pharmacoepidemiologist to explore on the fly the relationship between a given IMD and a potential outcome. This tool mine the French nationwide database of inpatient stays from 2008 to 2013. The data are preprocessed in order to optimize the queries. A web tool is developed in PHP, MySQL and Javascript. The user selects one or a group of IMD from a tree, and can filter the results using years and hospital names. Four result pages describe the selected inpatient stays: (1) temporal and demographic description, (2) a description of the geographical location of the hospital, (3) a description of the geographical place of residence of the patient and (4) a table showing the rehospitalization reasons by decreasing order of frequency. Then, the user can select one readmission reason and display dynamically the probability of readmission by mean of a Kaplan-Meier curve with confidence intervals. This tool enables to dynamically monitor the occurrence of time-dependent complications of IMD.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Ficheur, Grégoire and Ferreira Careira, Lionel and Beuscart, Régis and Chazard, Emmanuel},\n\tyear = {2015},\n\tpmid = {25991176},\n\tpages = {409--413},\n}\n\n
\n
\n\n\n
\n Administrative data can be used for the surveillance of the outcomes of implantable medical devices (IMDs). The objective of this work is to build a web-based tool allowing for an exploratory analysis of time-dependent events that may occur after the implementation of an IMD. This tool should enable a pharmacoepidemiologist to explore on the fly the relationship between a given IMD and a potential outcome. This tool mine the French nationwide database of inpatient stays from 2008 to 2013. The data are preprocessed in order to optimize the queries. A web tool is developed in PHP, MySQL and Javascript. The user selects one or a group of IMD from a tree, and can filter the results using years and hospital names. Four result pages describe the selected inpatient stays: (1) temporal and demographic description, (2) a description of the geographical location of the hospital, (3) a description of the geographical place of residence of the patient and (4) a table showing the rehospitalization reasons by decreasing order of frequency. Then, the user can select one readmission reason and display dynamically the probability of readmission by mean of a Kaplan-Meier curve with confidence intervals. This tool enables to dynamically monitor the occurrence of time-dependent complications of IMD.\n
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\n\n
\n
\n  \n 2014\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Proposal and evaluation of FASDIM, a Fast And Simple De-Identification Method for unstructured free-text clinical records.\n \n \n \n \n\n\n \n Chazard, E.; Mouret, C.; Ficheur, G.; Schaffar, A.; Beuscart, J.; and Beuscart, R.\n\n\n \n\n\n\n International Journal of Medical Informatics, 83(4): 303–312. April 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ProposalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{chazard_proposal_2014,\n\ttitle = {Proposal and evaluation of {FASDIM}, a {Fast} {And} {Simple} {De}-{Identification} {Method} for unstructured free-text clinical records},\n\tvolume = {83},\n\tcopyright = {All rights reserved},\n\tissn = {1872-8243},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2014_ijmi_fasdim.pdf},\n\tdoi = {10.1016/j.ijmedinf.2013.11.005},\n\tabstract = {PURPOSE: Medical free-text records enable to get rich information about the patients, but often need to be de-identified by removing the Protected Health Information (PHI), each time the identification of the patient is not mandatory. Pattern matching techniques require pre-defined dictionaries, and machine learning techniques require an extensive training set. Methods exist in French, but either bring weak results or are not freely available. The objective is to define and evaluate FASDIM, a Fast And Simple De-Identification Method for French medical free-text records.\nMETHODS: FASDIM consists in removing all the words that are not present in the authorized word list, and in removing all the numbers except those that match a list of protection patterns. The corresponding lists are incremented in the course of the iterations of the method. For the evaluation, the workload is estimated in the course of records de-identification. The efficiency of the de-identification is assessed by independent medical experts on 508 discharge letters that are randomly selected and de-identified by FASDIM. Finally, the letters are encoded after and before de-identification according to 3 terminologies (ATC, ICD10, CCAM) and the codes are compared.\nRESULTS: The construction of the list of authorized words is progressive: 12h for the first 7000 letters, 16 additional hours for 20,000 additional letters. The Recall (proportion of removed Protected Health Information, PHI) is 98.1\\%, the Precision (proportion of PHI within the removed token) is 79.6\\% and the F-measure (harmonic mean) is 87.9\\%. In average 30.6 terminology codes are encoded per letter, and 99.02\\% of those codes are preserved despite the de-identification.\nCONCLUSION: FASDIM gets good results in French and is freely available. It is easy to implement and does not require any predefined dictionary.},\n\tlanguage = {eng},\n\tnumber = {4},\n\tjournal = {International Journal of Medical Informatics},\n\tauthor = {Chazard, Emmanuel and Mouret, Capucine and Ficheur, Grégoire and Schaffar, Aurélien and Beuscart, Jean-Baptiste and Beuscart, Régis},\n\tmonth = apr,\n\tyear = {2014},\n\tpmid = {24370391},\n\tkeywords = {Anonymization, Confidentiality, De-identification, Free text, Natural language processing},\n\tpages = {303--312},\n}\n\n
\n
\n\n\n
\n PURPOSE: Medical free-text records enable to get rich information about the patients, but often need to be de-identified by removing the Protected Health Information (PHI), each time the identification of the patient is not mandatory. Pattern matching techniques require pre-defined dictionaries, and machine learning techniques require an extensive training set. Methods exist in French, but either bring weak results or are not freely available. The objective is to define and evaluate FASDIM, a Fast And Simple De-Identification Method for French medical free-text records. METHODS: FASDIM consists in removing all the words that are not present in the authorized word list, and in removing all the numbers except those that match a list of protection patterns. The corresponding lists are incremented in the course of the iterations of the method. For the evaluation, the workload is estimated in the course of records de-identification. The efficiency of the de-identification is assessed by independent medical experts on 508 discharge letters that are randomly selected and de-identified by FASDIM. Finally, the letters are encoded after and before de-identification according to 3 terminologies (ATC, ICD10, CCAM) and the codes are compared. RESULTS: The construction of the list of authorized words is progressive: 12h for the first 7000 letters, 16 additional hours for 20,000 additional letters. The Recall (proportion of removed Protected Health Information, PHI) is 98.1%, the Precision (proportion of PHI within the removed token) is 79.6% and the F-measure (harmonic mean) is 87.9%. In average 30.6 terminology codes are encoded per letter, and 99.02% of those codes are preserved despite the de-identification. CONCLUSION: FASDIM gets good results in French and is freely available. It is easy to implement and does not require any predefined dictionary.\n
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\n \n\n \n \n \n \n \n \n Adverse drug events with hyperkalaemia during inpatient stays: evaluation of an automated method for retrospective detection in hospital databases.\n \n \n \n \n\n\n \n Ficheur, G.; Chazard, E.; Beuscart, J.; Merlin, B.; Luyckx, M.; and Beuscart, R.\n\n\n \n\n\n\n BMC medical informatics and decision making, 14: 83. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"AdversePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ficheur_adverse_2014,\n\ttitle = {Adverse drug events with hyperkalaemia during inpatient stays: evaluation of an automated method for retrospective detection in hospital databases},\n\tvolume = {14},\n\tcopyright = {All rights reserved},\n\tissn = {1472-6947},\n\tshorttitle = {Adverse drug events with hyperkalaemia during inpatient stays},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2014_bmcmidm_adewithhyperkalemia.pdf},\n\tdoi = {10.1186/1472-6947-14-83},\n\tabstract = {BACKGROUND: Adverse drug reactions and adverse drug events (ADEs) are major public health issues. Many different prospective tools for the automated detection of ADEs in hospital databases have been developed and evaluated. The objective of the present study was to evaluate an automated method for the retrospective detection of ADEs with hyperkalaemia during inpatient stays.\nMETHODS: We used a set of complex detection rules to take account of the patient's clinical and biological context and the chronological relationship between the causes and the expected outcome. The dataset consisted of 3,444 inpatient stays in a French general hospital. An automated review was performed for all data and the results were compared with those of an expert chart review. The complex detection rules' analytical quality was evaluated for ADEs.\nRESULTS: In terms of recall, 89.5\\% of ADEs with hyperkalaemia "with or without an abnormal symptom" were automatically identified (including all three serious ADEs). In terms of precision, 63.7\\% of the automatically identified ADEs with hyperkalaemia were true ADEs.\nCONCLUSIONS: The use of context-sensitive rules appears to improve the automated detection of ADEs with hyperkalaemia. This type of tool may have an important role in pharmacoepidemiology via the routine analysis of large inter-hospital databases.},\n\tlanguage = {eng},\n\tjournal = {BMC medical informatics and decision making},\n\tauthor = {Ficheur, Grégoire and Chazard, Emmanuel and Beuscart, Jean-Baptiste and Merlin, Béatrice and Luyckx, Michel and Beuscart, Régis},\n\tyear = {2014},\n\tpmid = {25212108},\n\tpmcid = {PMC4164763},\n\tpages = {83},\n}\n\n
\n
\n\n\n
\n BACKGROUND: Adverse drug reactions and adverse drug events (ADEs) are major public health issues. Many different prospective tools for the automated detection of ADEs in hospital databases have been developed and evaluated. The objective of the present study was to evaluate an automated method for the retrospective detection of ADEs with hyperkalaemia during inpatient stays. METHODS: We used a set of complex detection rules to take account of the patient's clinical and biological context and the chronological relationship between the causes and the expected outcome. The dataset consisted of 3,444 inpatient stays in a French general hospital. An automated review was performed for all data and the results were compared with those of an expert chart review. The complex detection rules' analytical quality was evaluated for ADEs. RESULTS: In terms of recall, 89.5% of ADEs with hyperkalaemia \"with or without an abnormal symptom\" were automatically identified (including all three serious ADEs). In terms of precision, 63.7% of the automatically identified ADEs with hyperkalaemia were true ADEs. CONCLUSIONS: The use of context-sensitive rules appears to improve the automated detection of ADEs with hyperkalaemia. This type of tool may have an important role in pharmacoepidemiology via the routine analysis of large inter-hospital databases.\n
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\n  \n 2013\n \n \n (3)\n \n \n
\n
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\n \n\n \n \n \n \n \n \n Routine use of the \"ADE scorecards\", an application for automated ADE detection in a general hospital.\n \n \n \n \n\n\n \n Chazard, E.; Luyckx, M.; Beuscart, J.; Ferret, L.; and Beuscart, R.\n\n\n \n\n\n\n Studies in health technology and informatics, 192: 308–312. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"RoutinePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{chazard_routine_2013,\n\ttitle = {Routine use of the "{ADE} scorecards", an application for automated {ADE} detection in a general hospital},\n\tvolume = {192},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2013_medinfo_scorecards.pdf},\n\tabstract = {Retrospective detection of Adverse Drug Events (ADEs) is challenging, notably because ADEs result from complex interactions between many factors. Data mining techniques have recently emerged in the field of automated retrospective ADE detection. The "ADE Scorecards" are a research application based on data-mining that has been built in the framework of the PSIP European Project, and potentially enables automated ADE retrospective detection. The objective of this paper is to evaluate the use of the ADE Scorecards in a real-life healthcare situation. For that purpose, the ADE Scorecards have been implemented in a French general hospital and have been used by the physicians and pharmacists for three years (corresponding to 73,000 inpatient stays). According to the results, 2\\% of the analyzed inpatient stays have a potential ADE with hyperkalemia, and 1\\% of them have a potential ADE with vitamin K antagonist overdose. In practice, the application, which was first designed to be a standalone web-based application for the physicians, has been used as a part of a more global quality improvement approach led by the pharmacists.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Chazard, Emmanuel and Luyckx, Michel and Beuscart, Jean-Baptiste and Ferret, Laurie and Beuscart, Régis},\n\tyear = {2013},\n\tpmid = {23920566},\n\tpages = {308--312},\n}\n\n
\n
\n\n\n
\n Retrospective detection of Adverse Drug Events (ADEs) is challenging, notably because ADEs result from complex interactions between many factors. Data mining techniques have recently emerged in the field of automated retrospective ADE detection. The \"ADE Scorecards\" are a research application based on data-mining that has been built in the framework of the PSIP European Project, and potentially enables automated ADE retrospective detection. The objective of this paper is to evaluate the use of the ADE Scorecards in a real-life healthcare situation. For that purpose, the ADE Scorecards have been implemented in a French general hospital and have been used by the physicians and pharmacists for three years (corresponding to 73,000 inpatient stays). According to the results, 2% of the analyzed inpatient stays have a potential ADE with hyperkalemia, and 1% of them have a potential ADE with vitamin K antagonist overdose. In practice, the application, which was first designed to be a standalone web-based application for the physicians, has been used as a part of a more global quality improvement approach led by the pharmacists.\n
\n\n\n
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\n \n\n \n \n \n \n \n Evaluation of a computerized tool allowing retrospective detection of potential vitamin K antagonist overdoses in complex contexts.\n \n \n \n\n\n \n Ferret, L.; Luyckx, M.; Merlin, B.; Ficheur, G.; Chazard, E.; and Beuscart, R.\n\n\n \n\n\n\n Studies in health technology and informatics, 192: 553–556. 2013.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ferret_evaluation_2013,\n\ttitle = {Evaluation of a computerized tool allowing retrospective detection of potential vitamin {K} antagonist overdoses in complex contexts},\n\tvolume = {192},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\tabstract = {Management of vitamin K antagonists (VKA) is difficult, and overdoses can have dramatic hemorrhagic consequences. These works form part of a European computerized medical data processing project, which aims to develop IT tools for describing adverse drug events (ADEs). Materials and methods A tool enabling retrospective research of potential ADE cases was developed, using complex ADE detection rules taking into account chronological parameters: the ADE scorecards. The rules were applied on 14,748 medical records from a community hospital. We evaluated the predictive positive value of the rules related to INR elevation by an expert review of the detected cases. The severity of the clinical consequences was evaluated. Results 49 cases were detected, among which 11 cases were ADEs. The predictive positive value of the rules is 22.44\\%, mostly related to antibiotics and amiodarone introduction. The four cases of clinical damage related to a drug were properly designated by the rules. Discussion - Conclusion Our study shows the great potential of developing complex rules for the identification of adverse drug events in large medical databases.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Ferret, Laurie and Luyckx, Michel and Merlin, Béatrice and Ficheur, Grégoire and Chazard, Emmanuel and Beuscart, Régis},\n\tyear = {2013},\n\tpmid = {23920616},\n\tpages = {553--556},\n}\n\n
\n
\n\n\n
\n Management of vitamin K antagonists (VKA) is difficult, and overdoses can have dramatic hemorrhagic consequences. These works form part of a European computerized medical data processing project, which aims to develop IT tools for describing adverse drug events (ADEs). Materials and methods A tool enabling retrospective research of potential ADE cases was developed, using complex ADE detection rules taking into account chronological parameters: the ADE scorecards. The rules were applied on 14,748 medical records from a community hospital. We evaluated the predictive positive value of the rules related to INR elevation by an expert review of the detected cases. The severity of the clinical consequences was evaluated. Results 49 cases were detected, among which 11 cases were ADEs. The predictive positive value of the rules is 22.44%, mostly related to antibiotics and amiodarone introduction. The four cases of clinical damage related to a drug were properly designated by the rules. Discussion - Conclusion Our study shows the great potential of developing complex rules for the identification of adverse drug events in large medical databases.\n
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\n \n\n \n \n \n \n \n \n Clinical evaluation of the ADE scorecards as a decision support tool for adverse drug event analysis and medication safety management.\n \n \n \n \n\n\n \n Hackl, W. O; Ammenwerth, E.; Marcilly, R.; Chazard, E.; Luyckx, M.; Leurs, P.; and Beuscart, R.\n\n\n \n\n\n\n British journal of clinical pharmacology, 76 Suppl 1: 78–90. September 2013.\n \n\n\n\n
\n\n\n\n \n \n \"ClinicalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{hackl_clinical_2013,\n\ttitle = {Clinical evaluation of the {ADE} scorecards as a decision support tool for adverse drug event analysis and medication safety management},\n\tvolume = {76 Suppl 1},\n\tcopyright = {All rights reserved},\n\tissn = {1365-2125},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2013_bjcp_clinicalevalofadescorecards.pdf},\n\tdoi = {10.1111/bcp.12185},\n\tabstract = {AIMS: The prevention of adverse drug events (ADEs) demands co-ordination of different health care professionals. ADE scorecards are a novel approach to raise the team awareness regarding ADE risks and causes. It makes information on numbers and on possible causes of possible ADE cases available to the clinical team. The aim of the study was to investigate the usage and acceptance of ADE scorecards by healthcare professionals and their impact on rates of possible ADEs.\nMETHODS: ADE scorecards were introduced in three departments of a French hospital. A controlled time series analysis of ADE data was conducted to assess the impact of the ADE scorecards. In addition, qualitative interviews and a standardized survey with all participating staff members were performed.\nRESULTS: Physicians, nurses and pharmacists found ADE scorecards effective to increase medication safety and recommended future usage. The time-series analysis did not show changes in rates of possible ADEs.\nCONCLUSION: ADE scorecards appear to be useful to raise awareness of ADE-related issues among professionals. Although the evaluation did not show significant reductions of ADE rates, the participating physicians, nurses and pharmacists believed that the ADE scorecards could contribute to increased patient safety and to a reduction in ADE rates. Strategies need to be designed to integrate ADE scorecards better into the clinical routine and to increase the precision of ADE detection.},\n\tlanguage = {eng},\n\tjournal = {British journal of clinical pharmacology},\n\tauthor = {Hackl, Werner O and Ammenwerth, Elske and Marcilly, Romaric and Chazard, Emmanuel and Luyckx, Michel and Leurs, Pascale and Beuscart, Regis},\n\tmonth = sep,\n\tyear = {2013},\n\tpmid = {24007454},\n\tkeywords = {Medical Order Entry Systems, Patient Safety, evaluation studies, medication therapy management},\n\tpages = {78--90},\n}\n\n
\n
\n\n\n
\n AIMS: The prevention of adverse drug events (ADEs) demands co-ordination of different health care professionals. ADE scorecards are a novel approach to raise the team awareness regarding ADE risks and causes. It makes information on numbers and on possible causes of possible ADE cases available to the clinical team. The aim of the study was to investigate the usage and acceptance of ADE scorecards by healthcare professionals and their impact on rates of possible ADEs. METHODS: ADE scorecards were introduced in three departments of a French hospital. A controlled time series analysis of ADE data was conducted to assess the impact of the ADE scorecards. In addition, qualitative interviews and a standardized survey with all participating staff members were performed. RESULTS: Physicians, nurses and pharmacists found ADE scorecards effective to increase medication safety and recommended future usage. The time-series analysis did not show changes in rates of possible ADEs. CONCLUSION: ADE scorecards appear to be useful to raise awareness of ADE-related issues among professionals. Although the evaluation did not show significant reductions of ADE rates, the participating physicians, nurses and pharmacists believed that the ADE scorecards could contribute to increased patient safety and to a reduction in ADE rates. Strategies need to be designed to integrate ADE scorecards better into the clinical routine and to increase the precision of ADE detection.\n
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\n  \n 2012\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n A statistics-based approach of contextualization for adverse drug events detection and prevention.\n \n \n \n \n\n\n \n Chazard, E.; Bernonville, S.; Ficheur, G.; and Beuscart, R.\n\n\n \n\n\n\n Studies in health technology and informatics, 180: 766–770. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{chazard_statistics-based_2012,\n\ttitle = {A statistics-based approach of contextualization for adverse drug events detection and prevention},\n\tvolume = {180},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2012_mie_contextualization.pdf},\n\tabstract = {Several papers propose to take contexts into account for adverse drug events (ADE) detection and prevention, notably to decrease over-alerting of clinical decision support systems (CDSS). However, no statistical argument has been published till now. This works demonstrates, based on statistical analysis, that contextualization is necessary for ADE detection and prevention by 3 steps. A database of 115,447 inpatients stays from 6 hospitals, and 236 ADE detection rules are used. Step 1: the patients differ significantly between and within hospitals, regarding their medical background, their medication and several outcomes. Step 2: The estimated ADE rates vary between and within hospitals. Step 3: even when comparable conditions are present, the probability of ADE occurrence may differ between and within hospitals. Those 3 steps demonstrate that contextualization is necessary, and pave the way for a statistics-based method to contextualize ADE prevention (CDSS) and ADE detection tools.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Chazard, Emmanuel and Bernonville, Stéphanie and Ficheur, Grégoire and Beuscart, Régis},\n\tyear = {2012},\n\tpmid = {22874295},\n\tkeywords = {Adverse Drug Reaction Reporting Systems, Data Interpretation, Statistical, Data Mining, Decision Support Systems, Clinical, Drug Toxicity, Drug-Related Side Effects and Adverse Reactions, Electronic Health Records, France, Health Records, Personal, Humans, Prevalence, Sensitivity and Specificity},\n\tpages = {766--770},\n}\n\n
\n
\n\n\n
\n Several papers propose to take contexts into account for adverse drug events (ADE) detection and prevention, notably to decrease over-alerting of clinical decision support systems (CDSS). However, no statistical argument has been published till now. This works demonstrates, based on statistical analysis, that contextualization is necessary for ADE detection and prevention by 3 steps. A database of 115,447 inpatients stays from 6 hospitals, and 236 ADE detection rules are used. Step 1: the patients differ significantly between and within hospitals, regarding their medical background, their medication and several outcomes. Step 2: The estimated ADE rates vary between and within hospitals. Step 3: even when comparable conditions are present, the probability of ADE occurrence may differ between and within hospitals. Those 3 steps demonstrate that contextualization is necessary, and pave the way for a statistics-based method to contextualize ADE prevention (CDSS) and ADE detection tools.\n
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\n  \n 2011\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n The ADE scorecards: a tool for adverse drug event detection in electronic health records.\n \n \n \n \n\n\n \n Chazard, E.; Băceanu, A.; Ferret, L.; and Ficheur, G.\n\n\n \n\n\n\n Studies in health technology and informatics, 166: 169–179. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{chazard_ade_2011,\n\ttitle = {The {ADE} scorecards: a tool for adverse drug event detection in electronic health records},\n\tvolume = {166},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\tshorttitle = {The {ADE} scorecards},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2011_psip_scorecards.pdf},\n\tabstract = {Although several methods exist for Adverse Drug events (ADE) detection due to past hospitalizations, a tool that could display those ADEs to the physicians does not exist yet. This article presents the ADE Scorecards, a Web tool that enables to screen past hospitalizations extracted from Electronic Health Records (EHR), using a set of ADE detection rules, presently rules discovered by data mining. The tool enables the physicians to (1) get contextualized statistics about the ADEs that happen in their medical department, (2) see the rules that are useful in their department, i.e. the rules that could have enabled to prevent those ADEs and (3) review in detail the ADE cases, through a comprehensive interface displaying the diagnoses, procedures, lab results, administered drugs and anonymized records. The article shows a demonstration of the tool through a use case.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Chazard, Emmanuel and Băceanu, Adrian and Ferret, Laurie and Ficheur, Grégoire},\n\tyear = {2011},\n\tpmid = {21685622},\n\tkeywords = {Data Mining, Drug Toxicity, Humans, Information Systems, Internet, Medical Records Systems, Computerized},\n\tpages = {169--179},\n}\n\n
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\n Although several methods exist for Adverse Drug events (ADE) detection due to past hospitalizations, a tool that could display those ADEs to the physicians does not exist yet. This article presents the ADE Scorecards, a Web tool that enables to screen past hospitalizations extracted from Electronic Health Records (EHR), using a set of ADE detection rules, presently rules discovered by data mining. The tool enables the physicians to (1) get contextualized statistics about the ADEs that happen in their medical department, (2) see the rules that are useful in their department, i.e. the rules that could have enabled to prevent those ADEs and (3) review in detail the ADE cases, through a comprehensive interface displaying the diagnoses, procedures, lab results, administered drugs and anonymized records. The article shows a demonstration of the tool through a use case.\n
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\n \n\n \n \n \n \n \n Lossless watermarking of categorical attributes for verifying medical data base integrity.\n \n \n \n\n\n \n Coatrieux, G; Chazard, E; Beuscart, R; and Roux, C\n\n\n \n\n\n\n Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2011: 8195–8198. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{coatrieux_lossless_2011,\n\ttitle = {Lossless watermarking of categorical attributes for verifying medical data base integrity},\n\tvolume = {2011},\n\tcopyright = {All rights reserved},\n\tissn = {1557-170X},\n\tdoi = {10.1109/IEMBS.2011.6092021},\n\tabstract = {In this article, we propose a new lossless or reversible watermarking approach that allows the embedding of a message within categorical data of relational database. The reversibility property of our scheme is achieved by adapting the well known histogram shifting modulation. Based on this algorithm we derive a system for verifying the integrity of the database content, it means detecting addition, removal or modification of any t-uples or attributes. Such a content integrity check is independent of the manner the database is stored or structured. We illustrate the overall capability of our method and its constraints of deployment considering one medical database of inpatient hospital stay records. Especially, we reversibly watermark ICD-10 diagnostic codes.},\n\tlanguage = {eng},\n\tjournal = {Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference},\n\tauthor = {Coatrieux, G and Chazard, E and Beuscart, R and Roux, C},\n\tyear = {2011},\n\tpmid = {22256244},\n\tkeywords = {Algorithms, Computer Security, Humans, Medical Records Systems, Computerized},\n\tpages = {8195--8198},\n}\n\n
\n
\n\n\n
\n In this article, we propose a new lossless or reversible watermarking approach that allows the embedding of a message within categorical data of relational database. The reversibility property of our scheme is achieved by adapting the well known histogram shifting modulation. Based on this algorithm we derive a system for verifying the integrity of the database content, it means detecting addition, removal or modification of any t-uples or attributes. Such a content integrity check is independent of the manner the database is stored or structured. We illustrate the overall capability of our method and its constraints of deployment considering one medical database of inpatient hospital stay records. Especially, we reversibly watermark ICD-10 diagnostic codes.\n
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\n \n\n \n \n \n \n \n Design of Adverse Drug Events-Scorecards.\n \n \n \n\n\n \n Marcilly, R.; Chazard, E.; Beuscart-Zéphir, M.; Hackl, W.; Băceanu, A.; Kushniruk, A.; and Borycki, E. M\n\n\n \n\n\n\n Studies in health technology and informatics, 164: 377–381. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{marcilly_design_2011,\n\ttitle = {Design of {Adverse} {Drug} {Events}-{Scorecards}},\n\tvolume = {164},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\tabstract = {This paper presents the design of Adverse Drug Event-Scorecards. The scorecards described are innovative and novel, not having previously been reported in the literature. The Scorecards provide organizations (e.g. hospitals) with summary information about Adverse Drug Events (ADEs) using a Web-based platform. The data used in the Scorecards are routinely updated and report on ADEs detected through data mining processes. The development of the ADE Scorecards is ongoing and they are currently undergoing clinical testing.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Marcilly, Romaric and Chazard, Emmanuel and Beuscart-Zéphir, Marie-Catherine and Hackl, Werner and Băceanu, Adrian and Kushniruk, Andre and Borycki, Elizabeth M},\n\tyear = {2011},\n\tpmid = {21335740},\n\tkeywords = {Adverse Drug Reaction Reporting Systems, Data Mining, Internet, Quality Assurance, Health Care, Software Design, User-Computer Interface},\n\tpages = {377--381},\n}\n\n
\n
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\n This paper presents the design of Adverse Drug Event-Scorecards. The scorecards described are innovative and novel, not having previously been reported in the literature. The Scorecards provide organizations (e.g. hospitals) with summary information about Adverse Drug Events (ADEs) using a Web-based platform. The data used in the Scorecards are routinely updated and report on ADEs detected through data mining processes. The development of the ADE Scorecards is ongoing and they are currently undergoing clinical testing.\n
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\n \n\n \n \n \n \n \n \n Data mining to generate adverse drug events detection rules.\n \n \n \n \n\n\n \n Chazard, E.; Ficheur, G.; Bernonville, S.; Luyckx, M.; and Beuscart, R.\n\n\n \n\n\n\n IEEE transactions on information technology in biomedicine: a publication of the IEEE Engineering in Medicine and Biology Society, 15(6): 823–830. November 2011.\n \n\n\n\n
\n\n\n\n \n \n \"DataPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{chazard_data_2011,\n\ttitle = {Data mining to generate adverse drug events detection rules},\n\tvolume = {15},\n\tcopyright = {All rights reserved},\n\tissn = {1558-0032},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2011_ieeetitb_dataminingadedetectionrules.pdf},\n\tdoi = {10.1109/TITB.2011.2165727},\n\tabstract = {Adverse drug events (ADEs) are a public health issue. Their detection usually relies on voluntary reporting or medical chart reviews. The objective of this paper is to automatically detect cases of ADEs by data mining. 115,447 complete past hospital stays are extracted from six French, Danish, and Bulgarian hospitals using a common data model including diagnoses, drug administrations, laboratory results, and free-text records. Different kinds of outcomes are traced, and supervised rule induction methods (decision trees and association rules) are used to discover ADE detection rules, with respect to time constraints. The rules are then filtered, validated, and reorganized by a committee of experts. The rules are described in a rule repository, and several statistics are automatically computed in every medical department, such as the confidence, relative risk, and median delay of outcome appearance. 236 validated ADE-detection rules are discovered; they enable to detect 27 different kinds of outcomes. The rules use a various number of conditions related to laboratory results, diseases, drug administration, and demographics. Some rules involve innovative conditions, such as drug discontinuations.},\n\tlanguage = {eng},\n\tnumber = {6},\n\tjournal = {IEEE transactions on information technology in biomedicine: a publication of the IEEE Engineering in Medicine and Biology Society},\n\tauthor = {Chazard, Emmanuel and Ficheur, Grégoire and Bernonville, Stéphanie and Luyckx, Michel and Beuscart, Régis},\n\tmonth = nov,\n\tyear = {2011},\n\tpmid = {21859604},\n\tkeywords = {Adverse Drug Reaction Reporting Systems, Adverse drug events (ADEs), Data Mining, Decision Support Systems, Clinical, Decision Trees, Drug Toxicity, Electronic Health Records, Humans, Medical diagnostic imaging, Medical information systems, Medical services, Patient Safety, Patient monitoring, Pharmaceutical Preparations, Software, adverse drug events detection rules, automatically detect cases, data model, data models, demographics, drug administrations, drug discontinuations, drugs, free-text recording, median delay, medical computing, patient diagnosis, public health, relative risk, rule repository, statistical analysis, supervised rule methods},\n\tpages = {823--830},\n}\n\n
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\n Adverse drug events (ADEs) are a public health issue. Their detection usually relies on voluntary reporting or medical chart reviews. The objective of this paper is to automatically detect cases of ADEs by data mining. 115,447 complete past hospital stays are extracted from six French, Danish, and Bulgarian hospitals using a common data model including diagnoses, drug administrations, laboratory results, and free-text records. Different kinds of outcomes are traced, and supervised rule induction methods (decision trees and association rules) are used to discover ADE detection rules, with respect to time constraints. The rules are then filtered, validated, and reorganized by a committee of experts. The rules are described in a rule repository, and several statistics are automatically computed in every medical department, such as the confidence, relative risk, and median delay of outcome appearance. 236 validated ADE-detection rules are discovered; they enable to detect 27 different kinds of outcomes. The rules use a various number of conditions related to laboratory results, diseases, drug administration, and demographics. Some rules involve innovative conditions, such as drug discontinuations.\n
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\n  \n 2010\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.\n \n \n \n \n\n\n \n Koutkias, V.; Kilintzis, V.; Stalidis, G.; Lazou, K.; Collyda, C.; Chazard, E.; McNair, P.; Beuscart, R.; and Maglaveras, N.\n\n\n \n\n\n\n AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2010: 402–406. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"ConstructingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koutkias_constructing_2010,\n\ttitle = {Constructing {Clinical} {Decision} {Support} {Systems} for {Adverse} {Drug} {Event} {Prevention}: {A} {Knowledge}-based {Approach}},\n\tvolume = {2010},\n\tcopyright = {All rights reserved},\n\tissn = {1942-597X},\n\tshorttitle = {Constructing {Clinical} {Decision} {Support} {Systems} for {Adverse} {Drug} {Event} {Prevention}},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2010_amia_constructingcdssforadeprevention.pdf},\n\tabstract = {A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base (KB) comprised of rule-based knowledge sources, that is accompanied by the necessary inference and query mechanisms to provide healthcare professionals and patients with decision support services in clinical practice, in terms of alerts and recommendations on preventable ADEs. The relevant Knowledge Based System (KBS) is developed in the context of the EU-funded research project PSIP (Patient Safety through Intelligent Procedures in Medication). In the current paper, we present the foundations of the framework, its knowledge model and KB structure, as well as recent progress as regards the population of the KB, the implementation of the KBS, and results on the KBS verification in decision support operation.},\n\tlanguage = {eng},\n\tjournal = {AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium},\n\tauthor = {Koutkias, Vassilis and Kilintzis, Vassilis and Stalidis, George and Lazou, Katerina and Collyda, Chrysa and Chazard, Emmanuel and McNair, Peter and Beuscart, Regis and Maglaveras, Nicos},\n\tyear = {2010},\n\tpmid = {21347009},\n\tpages = {402--406},\n}\n\n
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\n A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base (KB) comprised of rule-based knowledge sources, that is accompanied by the necessary inference and query mechanisms to provide healthcare professionals and patients with decision support services in clinical practice, in terms of alerts and recommendations on preventable ADEs. The relevant Knowledge Based System (KBS) is developed in the context of the EU-funded research project PSIP (Patient Safety through Intelligent Procedures in Medication). In the current paper, we present the foundations of the framework, its knowledge model and KB structure, as well as recent progress as regards the population of the KB, the implementation of the KBS, and results on the KBS verification in decision support operation.\n
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\n \n\n \n \n \n \n \n \n Can F-MTI semantic-mined drug codes be used for adverse drug events detection when no CPOE is available?.\n \n \n \n \n\n\n \n Merlin, B.; Chazard, E.; Pereira, S.; Serrot, E.; Sakji, S.; Beuscart, R.; and Darmoni, S.\n\n\n \n\n\n\n Studies in health technology and informatics, 160(Pt 2): 1025–1029. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"CanPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{merlin_can_2010,\n\ttitle = {Can {F}-{MTI} semantic-mined drug codes be used for adverse drug events detection when no {CPOE} is available?},\n\tvolume = {160},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2010_medinfo_fmtimineddrugcodesadedetection.pdf},\n\tabstract = {BACKGROUND: Adverse Drug Events (ADEs) endanger the patients. Their detection and prevention is essential to improve the patients' safety. In the absence of computerized physician order entry (CPOE), discharge summaries are the only source of information about the drugs prescribed during a hospitalization. The French Multierminology Indexer (F-MTI) can help to extract drug-related information from those records.\nMETHODS: In first and second validation steps, the performance of the F-MTI tool is evaluated to extract ICD10 and ATC codes from free-text documents. In third step, potential ADE detection rules are used and the confidences of those rules are compared in several hospitals: using a CPOE vs. using semantic mining of free-text documents, diagnoses and lab results being available in both cases.\nRESULTS: The F-MTI tool is able to extract ATC codes from documents. Moreover, the evaluation shows coherent and comparable results between the hospitals with CPOEs and the hospital with drugs information extracted from the reports for potential ADE detection.\nCONCLUSION: semantic mining using F-MTI can help to identify previous cases of potential ADEs in absence of CPOE.},\n\tlanguage = {eng},\n\tnumber = {Pt 2},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Merlin, Béatrice and Chazard, Emmanuel and Pereira, Suzanne and Serrot, Elisabeth and Sakji, Saoussen and Beuscart, Régis and Darmoni, Stefan},\n\tyear = {2010},\n\tpmid = {20841839},\n\tkeywords = {Adverse Drug Reaction Reporting Systems, Data Mining, Humans, International Classification of Diseases, Medical Order Entry Systems, Medication Errors, Pharmaceutical Preparations, Semantics, Software, Terminology as Topic},\n\tpages = {1025--1029},\n}\n\n
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\n BACKGROUND: Adverse Drug Events (ADEs) endanger the patients. Their detection and prevention is essential to improve the patients' safety. In the absence of computerized physician order entry (CPOE), discharge summaries are the only source of information about the drugs prescribed during a hospitalization. The French Multierminology Indexer (F-MTI) can help to extract drug-related information from those records. METHODS: In first and second validation steps, the performance of the F-MTI tool is evaluated to extract ICD10 and ATC codes from free-text documents. In third step, potential ADE detection rules are used and the confidences of those rules are compared in several hospitals: using a CPOE vs. using semantic mining of free-text documents, diagnoses and lab results being available in both cases. RESULTS: The F-MTI tool is able to extract ATC codes from documents. Moreover, the evaluation shows coherent and comparable results between the hospitals with CPOEs and the hospital with drugs information extracted from the reports for potential ADE detection. CONCLUSION: semantic mining using F-MTI can help to identify previous cases of potential ADEs in absence of CPOE.\n
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\n  \n 2009\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n The expert explorer: a tool for hospital data visualization and adverse drug event rules validation.\n \n \n \n \n\n\n \n Băceanu, A.; Atasiei, I.; Chazard, E.; Leroy, N.; and PSIP Consortium\n\n\n \n\n\n\n Studies in health technology and informatics, 148: 85–94. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{baceanu_expert_2009,\n\ttitle = {The expert explorer: a tool for hospital data visualization and adverse drug event rules validation},\n\tvolume = {148},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\tshorttitle = {The expert explorer},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2009_psip_expertexplorer.pdf},\n\tabstract = {An important part of adverse drug events (ADEs) detection is the validation of the clinical cases and the assessment of the decision rules to detect ADEs. For that purpose, a software called "Expert Explorer" has been designed by Ideea Advertising. Anonymized datasets have been extracted from hospitals into a common repository. The tool has 3 main features. (1) It can display hospital stays in a visual and comprehensive way (diagnoses, drugs, lab results, etc.) using tables and pretty charts. (2) It allows designing and executing dashboards in order to generate knowledge about ADEs. (3) It finally allows uploading decision rules obtained from data mining. Experts can then review the rules, the hospital stays that match the rules, and finally give their advice thanks to specialized forms. Then the rules can be validated, invalidated, or improved (knowledge elicitation phase).},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Băceanu, Adrian and Atasiei, Ionuţ and Chazard, Emmanuel and Leroy, Nicolas and {PSIP Consortium}},\n\tyear = {2009},\n\tpmid = {19745238},\n\tkeywords = {Data Mining, Drug Toxicity, Hospital Information Systems, Humans, Internet, Reproducibility of Results, Software Design},\n\tpages = {85--94},\n}\n\n
\n
\n\n\n
\n An important part of adverse drug events (ADEs) detection is the validation of the clinical cases and the assessment of the decision rules to detect ADEs. For that purpose, a software called \"Expert Explorer\" has been designed by Ideea Advertising. Anonymized datasets have been extracted from hospitals into a common repository. The tool has 3 main features. (1) It can display hospital stays in a visual and comprehensive way (diagnoses, drugs, lab results, etc.) using tables and pretty charts. (2) It allows designing and executing dashboards in order to generate knowledge about ADEs. (3) It finally allows uploading decision rules obtained from data mining. Experts can then review the rules, the hospital stays that match the rules, and finally give their advice thanks to specialized forms. Then the rules can be validated, invalidated, or improved (knowledge elicitation phase).\n
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\n \n\n \n \n \n \n \n \n Adverse drug events prevention rules: multi-site evaluation of rules from various sources.\n \n \n \n \n\n\n \n Chazard, E.; Ficheur, G.; Merlin, B.; Serrot, E.; PSIP Consortium; and Beuscart, R.\n\n\n \n\n\n\n Studies in health technology and informatics, 148: 102–111. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"AdversePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{chazard_adverse_2009,\n\ttitle = {Adverse drug events prevention rules: multi-site evaluation of rules from various sources},\n\tvolume = {148},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\tshorttitle = {Adverse drug events prevention rules},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2009_psip_rulesrepository.pdf},\n\tabstract = {Adverse drug events are a public health issue (98,000 deaths in the USA every year). Some computerized physician order entry (CPOEs) coupled with clinical decision support systems (CDSS) allow to prevent ADEs thanks to decision rules. Those rules can come from many sources: academic knowledge, record reviews, and data mining. Whatever their origin, the rules may induce too numerous alerts of poor accuracy when identically applied in different places. In this work we formalized rules from various sources in XML and enforced their execution on several medical departments to evaluate their local confidence. The article details the process and shows examples of evaluated rules from various sources. Several needs are enlightened to improve confidences: segmentation, contextualization, and evaluation of the rules over time.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Chazard, Emmanuel and Ficheur, Grégoire and Merlin, Béatrice and Serrot, Elisabeth and {PSIP Consortium} and Beuscart, Régis},\n\tyear = {2009},\n\tpmid = {19745240},\n\tkeywords = {Data Mining, Decision Making, Decision Support Systems, Clinical, Drug Toxicity, Guidelines as Topic, Humans, Medical Order Entry Systems, Safety Management, Systems Integration},\n\tpages = {102--111},\n}\n\n
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\n\n\n
\n Adverse drug events are a public health issue (98,000 deaths in the USA every year). Some computerized physician order entry (CPOEs) coupled with clinical decision support systems (CDSS) allow to prevent ADEs thanks to decision rules. Those rules can come from many sources: academic knowledge, record reviews, and data mining. Whatever their origin, the rules may induce too numerous alerts of poor accuracy when identically applied in different places. In this work we formalized rules from various sources in XML and enforced their execution on several medical departments to evaluate their local confidence. The article details the process and shows examples of evaluated rules from various sources. Several needs are enlightened to improve confidences: segmentation, contextualization, and evaluation of the rules over time.\n
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\n \n\n \n \n \n \n \n \n Detection of adverse drug events: proposal of a data model.\n \n \n \n \n\n\n \n Chazard, E.; Merlin, B.; Ficheur, G.; Sarfati, J.; PSIP Consortium; and Beuscart, R.\n\n\n \n\n\n\n Studies in health technology and informatics, 148: 63–74. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"DetectionPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{chazard_detection_2009,\n\ttitle = {Detection of adverse drug events: proposal of a data model},\n\tvolume = {148},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\tshorttitle = {Detection of adverse drug events},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2009_psip_datamodel.pdf},\n\tabstract = {Our main objective is to detect adverse drug events (ADEs) in former hospital stays. As ADEs are rare, that supposes to screen thousands of electronic health records (EHRs). For that purpose, we need to define a data model that has two main objectives: (1) being able to describe hospital stays from various hospitals (2) being tuned so as to prepare the data mining process: as ADEs are not flagged in the datasets, the data model must be optimized for ADE detection. The article presents the phases of the design and the data model that results from this work. It is compatible with many hospitals. It deals with diagnoses, drug prescriptions, lab results and administrative information. It allows for data mining and ADE detection in EHRs.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Chazard, Emmanuel and Merlin, Béatrice and Ficheur, Grégoire and Sarfati, Jean-Charles and {PSIP Consortium} and Beuscart, Régis},\n\tyear = {2009},\n\tpmid = {19745236},\n\tkeywords = {Data Mining, Decision Support Techniques, Drug Toxicity, Electronic Health Records, Humans},\n\tpages = {63--74},\n}\n\n
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\n Our main objective is to detect adverse drug events (ADEs) in former hospital stays. As ADEs are rare, that supposes to screen thousands of electronic health records (EHRs). For that purpose, we need to define a data model that has two main objectives: (1) being able to describe hospital stays from various hospitals (2) being tuned so as to prepare the data mining process: as ADEs are not flagged in the datasets, the data model must be optimized for ADE detection. The article presents the phases of the design and the data model that results from this work. It is compatible with many hospitals. It deals with diagnoses, drug prescriptions, lab results and administrative information. It allows for data mining and ADE detection in EHRs.\n
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\n \n\n \n \n \n \n \n \n Toward automatic detection and prevention of adverse drug events.\n \n \n \n \n\n\n \n Leroy, N.; Chazard, E.; Beuscart, R.; Beuscart-Zephir, M. C.; and Psip Consortium\n\n\n \n\n\n\n Studies in health technology and informatics, 143: 30–35. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"TowardPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{leroy_toward_2009,\n\ttitle = {Toward automatic detection and prevention of adverse drug events},\n\tvolume = {143},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2009_itch_towardautomaticdetection.pdf},\n\tabstract = {Adverse Drug Events (ADE) due to medication errors and human factors are a major public health issue. They endanger patient safety and cause considerable extra healthcare costs. The European project PSIP (Patient Safety through Intelligent Procedures in medication) aims to identify and prevent ADE. Data mining of the structured hospital data bases will give a list of observed ADE with frequencies and probabilities, thereby giving a better understanding of potential risks. The main objective of the project is to develop innovative knowledge based on the mining results and to deliver to professionals and patients, in the form of alerts and decision support functions, a contextualized knowledge fitting the local risk parameters.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Leroy, Nicolas and Chazard, Emmanuel and Beuscart, Régis and Beuscart-Zephir, Marie Catherine and {Psip Consortium}},\n\tyear = {2009},\n\tpmid = {19380911},\n\tkeywords = {Decision Support Systems, Clinical, Denmark, Drug Toxicity, France, Hospital Information Systems, Humans, Medical Audit},\n\tpages = {30--35},\n}\n\n
\n
\n\n\n
\n Adverse Drug Events (ADE) due to medication errors and human factors are a major public health issue. They endanger patient safety and cause considerable extra healthcare costs. The European project PSIP (Patient Safety through Intelligent Procedures in medication) aims to identify and prevent ADE. Data mining of the structured hospital data bases will give a list of observed ADE with frequencies and probabilities, thereby giving a better understanding of potential risks. The main objective of the project is to develop innovative knowledge based on the mining results and to deliver to professionals and patients, in the form of alerts and decision support functions, a contextualized knowledge fitting the local risk parameters.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Data-mining-based detection of adverse drug events.\n \n \n \n \n\n\n \n Chazard, E.; Preda, C.; Merlin, B.; Ficheur, G.; PSIP consortium; and Beuscart, R.\n\n\n \n\n\n\n Studies in health technology and informatics, 150: 552–556. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"Data-mining-basedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{chazard_data-mining-based_2009,\n\ttitle = {Data-mining-based detection of adverse drug events},\n\tvolume = {150},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2009_mie_dataminingade.pdf},\n\tabstract = {Every year adverse drug events (ADEs) are known to be responsible for 98,000 deaths in the USA. Classical methods rely on report statements, expert knowledge, and staff operated record review. One of our objectives, in the PSIP project framework, is to use data mining (e.g., decision trees) to electronically identify situations leading to risk of ADEs. 10,500 hospitalization records from Denmark and France were used. 500 rules were automatically obtained, which are currently being validated by experts. A decision support system to prevent ADEs is then to be developed. The article examines a decision tree and the rules in the field of vitamin K antagonists.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Chazard, Emmanuel and Preda, Cristian and Merlin, Béatrice and Ficheur, Grégoire and {PSIP consortium} and Beuscart, Régis},\n\tyear = {2009},\n\tpmid = {19745372},\n\tkeywords = {Anticoagulants, Databases, Factual, Decision Trees, Drug Toxicity, Information Storage and Retrieval, Medical Informatics, Vitamin K},\n\tpages = {552--556},\n}\n\n
\n
\n\n\n
\n Every year adverse drug events (ADEs) are known to be responsible for 98,000 deaths in the USA. Classical methods rely on report statements, expert knowledge, and staff operated record review. One of our objectives, in the PSIP project framework, is to use data mining (e.g., decision trees) to electronically identify situations leading to risk of ADEs. 10,500 hospitalization records from Denmark and France were used. 500 rules were automatically obtained, which are currently being validated by experts. A decision support system to prevent ADEs is then to be developed. The article examines a decision tree and the rules in the field of vitamin K antagonists.\n
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\n  \n 2007\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Graphical representation of the comprehensive patient flow through the hospital.\n \n \n \n \n\n\n \n Chazard, E.; and Beuscart, R.\n\n\n \n\n\n\n AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium,110–114. 2007.\n \n\n\n\n
\n\n\n\n \n \n \"GraphicalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{chazard_graphical_2007,\n\ttitle = {Graphical representation of the comprehensive patient flow through the hospital},\n\tcopyright = {All rights reserved},\n\tissn = {1942-597X},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2007_amia_comprehensivepatientflow.pdf},\n\tabstract = {Representing the patient flow through the hospital is quite a difficult task, considering the amount of data to be taken into account. In this article, some usual visual representations are first shown, then new charts are proposed. Several real examples are given. Those charts have been implemented in a web-based query interface, using PHP5 and generating SVG outputs on the fly, without any a priori knowledge. These charts allow for representing a large amount of data on the same graph: the occupancy of each medical department, their linking and transfers, allowing to display the whole care sequence. SVG, an XML-based free vector graphics format, allows rich end-user interaction. Practical applications: length of stay reducing, cost reducing, cost breakdown, further statistical study, administrative authorizations.},\n\tlanguage = {eng},\n\tjournal = {AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium},\n\tauthor = {Chazard, Emmanuel and Beuscart, Régis},\n\tyear = {2007},\n\tpmid = {18693808},\n\tkeywords = {Computer Graphics, Hospital Administration, Hospitalization, Humans, Patient Transfer, Programming Languages},\n\tpages = {110--114},\n}\n\n
\n
\n\n\n
\n Representing the patient flow through the hospital is quite a difficult task, considering the amount of data to be taken into account. In this article, some usual visual representations are first shown, then new charts are proposed. Several real examples are given. Those charts have been implemented in a web-based query interface, using PHP5 and generating SVG outputs on the fly, without any a priori knowledge. These charts allow for representing a large amount of data on the same graph: the occupancy of each medical department, their linking and transfers, allowing to display the whole care sequence. SVG, an XML-based free vector graphics format, allows rich end-user interaction. Practical applications: length of stay reducing, cost reducing, cost breakdown, further statistical study, administrative authorizations.\n
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\n \n\n \n \n \n \n \n DicomWorks Teleradiology: secure transmission of medical images over the internet at low cost.\n \n \n \n\n\n \n Puech, P.; Chazard, E.; Lemaitre, L.; and Beuscart, R.\n\n\n \n\n\n\n Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2007: 6706–6709. 2007.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{puech_dicomworks_2007,\n\ttitle = {{DicomWorks} {Teleradiology}: secure transmission of medical images over the internet at low cost},\n\tvolume = {2007},\n\tcopyright = {All rights reserved},\n\tissn = {1557-170X},\n\tshorttitle = {{DicomWorks} {Teleradiology}},\n\tdoi = {10.1109/IEMBS.2007.4353899},\n\tabstract = {We developed a completely secured teleradiology solution tailored for e-mail teleradiology applications at low-cost. Data processing consists in creating a couple of files with an encrypted and compressed image archive and a 128 bits decoding key file. No proprietary file format or encryption scheme is used. Files are exchanged using the e-mail (SMTP and POP) protocols, but FTP or sFTP can be used for better performances. Software includes original features such as real-time interactive JPEG compression, instant archive preview or secured data cleanup when a user logs off. We believe that this flexible, integrated and easy to use solution is a robust alternative to more complex architectures for simple image transmissions or occasional circumstances.},\n\tlanguage = {eng},\n\tjournal = {Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference},\n\tauthor = {Puech, Philippe and Chazard, Emmanuel and Lemaitre, Laurent and Beuscart, Regis},\n\tyear = {2007},\n\tpmid = {18003565},\n\tkeywords = {Biomedical imaging, Costs, Costs and Cost Analysis, Couplings, Decoding, Diagnostic Imaging, DicomWorks teleradiology, Image coding, Internet, POP protocol, Protocols, SMTP protocol, Telemedicine, Teleradiology, compressed image archive, cryptography, data communication, data processing, decoding key file, electronic mail, encrypted image archive, instant archive preview, low cost e-mail teleradiology applications, medical administrative data processing, radiology, realtime interactive JPEG compression, secure medical image transmission, secured data cleanup, secured teleradiology solution, storage capacity 128 bit},\n\tpages = {6706--6709},\n}\n\n
\n
\n\n\n
\n We developed a completely secured teleradiology solution tailored for e-mail teleradiology applications at low-cost. Data processing consists in creating a couple of files with an encrypted and compressed image archive and a 128 bits decoding key file. No proprietary file format or encryption scheme is used. Files are exchanged using the e-mail (SMTP and POP) protocols, but FTP or sFTP can be used for better performances. Software includes original features such as real-time interactive JPEG compression, instant archive preview or secured data cleanup when a user logs off. We believe that this flexible, integrated and easy to use solution is a robust alternative to more complex architectures for simple image transmissions or occasional circumstances.\n
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\n\n\n
\n \n\n \n \n \n \n \n \n Potential link between HMG‐CoA reductase inhibitor (statin) use and interstitial lung disease.\n \n \n \n \n\n\n \n Walker, T.; McCaffery, J.; and Steinfort, C.\n\n\n \n\n\n\n Medical Journal of Australia, 186(2): 91–94. January 2007.\n \n\n\n\n
\n\n\n\n \n \n \"PotentialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{walker_potential_2007,\n\ttitle = {Potential link between {HMG}‐{CoA} reductase inhibitor (statin) use and interstitial lung disease},\n\tvolume = {186},\n\tissn = {0025-729X, 1326-5377},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.5694/j.1326-5377.2007.tb00809.x},\n\tdoi = {10.5694/j.1326-5377.2007.tb00809.x},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-05-17},\n\tjournal = {Medical Journal of Australia},\n\tauthor = {Walker, Tim and McCaffery, Joe and Steinfort, Chris},\n\tmonth = jan,\n\tyear = {2007},\n\tpages = {91--94},\n}\n
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\n
\n  \n 2006\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Using Treemaps to represent medical data.\n \n \n \n \n\n\n \n Chazard, E.; Puech, P.; Gregoire, M.; and Beuscart, R.\n\n\n \n\n\n\n Studies in health technology and informatics, 124: 522–527. 2006.\n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{chazard_using_2006,\n\ttitle = {Using {Treemaps} to represent medical data},\n\tvolume = {124},\n\tcopyright = {All rights reserved},\n\tissn = {0926-9630},\n\turl = {http://www.chazard.org/emmanuel/pdf_articles/paper_2006_mie_treemaps.pdf},\n\tabstract = {Confronted with the inadequacy of traditional charts, we tested the contribution of Treemaps to the representation of medical data. Treemap charts allow description of large hierarchical collections of quantitative data, on a synthetic way. Treemaps were implemented using PHP5, and were tested in the field of DRG-mining and other medical informations. From now on, this implementation is used in an interactive web-based request tool, and could be used to design interactive piloting tools.},\n\tlanguage = {eng},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {Chazard, Emmanuel and Puech, Philippe and Gregoire, Marc and Beuscart, Régis},\n\tyear = {2006},\n\tpmid = {17108571},\n\tkeywords = {Computer Graphics, France, Medical Informatics, Software},\n\tpages = {522--527},\n}\n\n
\n
\n\n\n
\n Confronted with the inadequacy of traditional charts, we tested the contribution of Treemaps to the representation of medical data. Treemap charts allow description of large hierarchical collections of quantitative data, on a synthetic way. Treemaps were implemented using PHP5, and were tested in the field of DRG-mining and other medical informations. From now on, this implementation is used in an interactive web-based request tool, and could be used to design interactive piloting tools.\n
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\n  \n 2002\n \n \n (1)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Statin-induced fibrotic nonspecific interstitial pneumonia.\n \n \n \n \n\n\n \n Lantuejoul, S.; Brambilla, E.; Brambilla, C.; and Devouassoux, G.\n\n\n \n\n\n\n European Respiratory Journal, 19(3): 577–580. March 2002.\n \n\n\n\n
\n\n\n\n \n \n \"Statin-inducedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{lantuejoul_statin-induced_2002,\n\ttitle = {Statin-induced fibrotic nonspecific interstitial pneumonia},\n\tvolume = {19},\n\tissn = {0903-1936, 1399-3003},\n\turl = {http://erj.ersjournals.com/cgi/doi/10.1183/09031936.02.00258802},\n\tdoi = {10.1183/09031936.02.00258802},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-05-17},\n\tjournal = {European Respiratory Journal},\n\tauthor = {Lantuejoul, S. and Brambilla, E. and Brambilla, C. and Devouassoux, G.},\n\tmonth = mar,\n\tyear = {2002},\n\tpages = {577--580},\n}\n\n
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\n  \n 1999\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Bladder dysfunction during the use of tramadol: BLADDER DYSFUNCTION WITH TRAMADOL.\n \n \n \n \n\n\n \n Meyboom, R. H. B.; Brodie-Meijer, C. C. E.; Diemont, W. L.; and Van Puijenbroek, E. P.\n\n\n \n\n\n\n Pharmacoepidemiology and Drug Safety, 8(S1): S63–S64. April 1999.\n \n\n\n\n
\n\n\n\n \n \n \"BladderPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{meyboom_bladder_1999,\n\ttitle = {Bladder dysfunction during the use of tramadol: {BLADDER} {DYSFUNCTION} {WITH} {TRAMADOL}},\n\tvolume = {8},\n\tissn = {10538569, 10991557},\n\tshorttitle = {Bladder dysfunction during the use of tramadol},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1099-1557(199904)8:1+<S63::AID-PDS399>3.0.CO;2-M},\n\tdoi = {10.1002/(SICI)1099-1557(199904)8:1+<S63::AID-PDS399>3.0.CO;2-M},\n\tlanguage = {en},\n\tnumber = {S1},\n\turldate = {2022-05-19},\n\tjournal = {Pharmacoepidemiology and Drug Safety},\n\tauthor = {Meyboom, R. H. B. and Brodie-Meijer, C. C. E. and Diemont, W. L. and Van Puijenbroek, E. P.},\n\tmonth = apr,\n\tyear = {1999},\n\tpages = {S63--S64},\n}\n\n
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\n  \n undefined\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Standardized Vocabularies · OHDSI/Vocabulary-v5.0 Wiki · GitHub.\n \n \n \n \n\n\n \n \n\n\n \n\n\n\n \n \n\n\n\n
\n\n\n\n \n \n \"StandardizedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{noauthor_standardized_nodate,\n\ttitle = {Standardized {Vocabularies} · {OHDSI}/{Vocabulary}-v5.0 {Wiki} · {GitHub}},\n\turl = {https://github.com/OHDSI/Vocabulary-v5.0/wiki/Standardized-Vocabularies},\n\turldate = {2022-11-25},\n}\n\n
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