@article{ficheur_epihosp_2015,
	title = {{EpiHosp}: {A} web-based visualization tool enabling the exploratory analysis of complications of implantable medical devices from a nationwide hospital database},
	volume = {210},
	copyright = {All rights reserved},
	issn = {0926-9630},
	shorttitle = {{EpiHosp}},
	url = {http://www.chazard.org/emmanuel/pdf_articles/paper_2015_mie_epihosp.pdf},
	abstract = {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.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Ficheur, Grégoire and Ferreira Careira, Lionel and Beuscart, Régis and Chazard, Emmanuel},
	year = {2015},
	pmid = {25991176},
	pages = {409--413},
}

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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. 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