title: EpiHosp: A web-based visualization tool enabling the exploratory analysis of complications of implantable medical devices from a nationwide hospital database.
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.
authors.affiliation: Department of Public Health; EA 2694, University of Lille; Lille, France.
authors.forename: Grégoire
authors.initials: G
authors.lastname: Ficheur
authors.affiliation: Department of Public Health; EA 2694, University of Lille; Lille, France.
authors.forename: Lionel
authors.initials: L
authors.lastname: Ferreira Careira
authors.affiliation: Department of Public Health; EA 2694, University of Lille; Lille, France.
authors.forename: Régis
authors.initials: R
authors.lastname: Beuscart
authors.affiliation: Department of Public Health; EA 2694, University of Lille; Lille, France.
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Chazard
mesh_terms: D057225:Data Mining / Q000379:methods*; D016208:Databases, Factual; D057286:Electronic Health Records / Q000458:organization & administration*; D005602:France / Q000453:epidemiology; D006760:Hospitalization; D006801:Humans; D010359:Patient Readmission / Q000706:statistics & numerical data*; D019736:Prostheses and Implants / Q000706:statistics & numerical data*; D015996:Survival Rate; D014584:User-Computer Interface