@article{rawat_investigation_2023,
	title = {An {Investigation} of the {Representation} of {Social} {Determinants} of {Health} in the {UMLS}},
	volume = {2022},
	issn = {1942-597X},
	url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148271/},
	abstract = {Social Determinants of Health (SDOH) are the conditions in which people are born, live, work, and age. Unified Medical Language System (UMLS) incorporates SDOH concepts; but few have evaluated its coverage and quality. With 15,649 expert-annotated SDOH mentions from 3176 randomly selected electronic health record (EHR) notes, we found that 100\% SDOH mentions can be mapped to at least one UMLS concept, indicating a good coverage of SDOH. However, we discovered a few challenges for the UMLS’s representation of SDOH. Next, we developed a multi-step framework to identify SDOH concepts from UMLS, and a clinical BERT-based classification algorithm to assign each identified SDOH concept to one of the six general categories. Our multi-step framework extracted a total of 198, 677 SDOH concepts from the UMLS and the SDOH category classification system attained an accuracy of 91\%. We also built EASE: an open-source tool to Extract SDOH from EHRs.},
	urldate = {2024-04-10},
	journal = {AMIA Annual Symposium Proceedings},
	author = {Rawat, Bhanu Pratap Singh and Keating, Heather and Goodwin, Raelene and Druhl, Emily and Yu, Hong},
	month = apr,
	year = {2023},
	pmid = {37128364},
	pmcid = {PMC10148271},
	pages = {912--921},
}

{"_id":"2zvnZteaZpHcgY97S","bibbaseid":"rawat-keating-goodwin-druhl-yu-aninvestigationoftherepresentationofsocialdeterminantsofhealthintheumls-2023","author_short":["Rawat, B. P. S.","Keating, H.","Goodwin, R.","Druhl, E.","Yu, H."],"bibdata":{"bibtype":"article","type":"article","title":"An Investigation of the Representation of Social Determinants of Health in the UMLS","volume":"2022","issn":"1942-597X","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148271/","abstract":"Social Determinants of Health (SDOH) are the conditions in which people are born, live, work, and age. Unified Medical Language System (UMLS) incorporates SDOH concepts; but few have evaluated its coverage and quality. With 15,649 expert-annotated SDOH mentions from 3176 randomly selected electronic health record (EHR) notes, we found that 100% SDOH mentions can be mapped to at least one UMLS concept, indicating a good coverage of SDOH. However, we discovered a few challenges for the UMLS’s representation of SDOH. Next, we developed a multi-step framework to identify SDOH concepts from UMLS, and a clinical BERT-based classification algorithm to assign each identified SDOH concept to one of the six general categories. Our multi-step framework extracted a total of 198, 677 SDOH concepts from the UMLS and the SDOH category classification system attained an accuracy of 91%. We also built EASE: an open-source tool to Extract SDOH from EHRs.","urldate":"2024-04-10","journal":"AMIA Annual Symposium Proceedings","author":[{"propositions":[],"lastnames":["Rawat"],"firstnames":["Bhanu","Pratap","Singh"],"suffixes":[]},{"propositions":[],"lastnames":["Keating"],"firstnames":["Heather"],"suffixes":[]},{"propositions":[],"lastnames":["Goodwin"],"firstnames":["Raelene"],"suffixes":[]},{"propositions":[],"lastnames":["Druhl"],"firstnames":["Emily"],"suffixes":[]},{"propositions":[],"lastnames":["Yu"],"firstnames":["Hong"],"suffixes":[]}],"month":"April","year":"2023","pmid":"37128364","pmcid":"PMC10148271","pages":"912–921","bibtex":"@article{rawat_investigation_2023,\n\ttitle = {An {Investigation} of the {Representation} of {Social} {Determinants} of {Health} in the {UMLS}},\n\tvolume = {2022},\n\tissn = {1942-597X},\n\turl = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148271/},\n\tabstract = {Social Determinants of Health (SDOH) are the conditions in which people are born, live, work, and age. Unified Medical Language System (UMLS) incorporates SDOH concepts; but few have evaluated its coverage and quality. With 15,649 expert-annotated SDOH mentions from 3176 randomly selected electronic health record (EHR) notes, we found that 100\\% SDOH mentions can be mapped to at least one UMLS concept, indicating a good coverage of SDOH. However, we discovered a few challenges for the UMLS’s representation of SDOH. Next, we developed a multi-step framework to identify SDOH concepts from UMLS, and a clinical BERT-based classification algorithm to assign each identified SDOH concept to one of the six general categories. Our multi-step framework extracted a total of 198, 677 SDOH concepts from the UMLS and the SDOH category classification system attained an accuracy of 91\\%. We also built EASE: an open-source tool to Extract SDOH from EHRs.},\n\turldate = {2024-04-10},\n\tjournal = {AMIA Annual Symposium Proceedings},\n\tauthor = {Rawat, Bhanu Pratap Singh and Keating, Heather and Goodwin, Raelene and Druhl, Emily and Yu, Hong},\n\tmonth = apr,\n\tyear = {2023},\n\tpmid = {37128364},\n\tpmcid = {PMC10148271},\n\tpages = {912--921},\n}\n\n","author_short":["Rawat, B. P. S.","Keating, H.","Goodwin, R.","Druhl, E.","Yu, H."],"key":"rawat_investigation_2023","id":"rawat_investigation_2023","bibbaseid":"rawat-keating-goodwin-druhl-yu-aninvestigationoftherepresentationofsocialdeterminantsofhealthintheumls-2023","role":"author","urls":{"Paper":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148271/"},"metadata":{"authorlinks":{}},"downloads":1,"html":""},"bibtype":"article","biburl":"http://fenway.cs.uml.edu/papers/pubs-all.bib","dataSources":["TqaA9miSB65nRfS5H"],"keywords":[],"search_terms":["investigation","representation","social","determinants","health","umls","rawat","keating","goodwin","druhl","yu"],"title":"An Investigation of the Representation of Social Determinants of Health in the UMLS","year":2023,"downloads":1}