Titre :

Epihosp: a web-based visualization tool enabling the exploratory analysis of complications of implantable medical devices from a nationwide hospital database

Auteur(s) :

Ficheur, Gregoire [Auteur]
Ferreira Careira, Lionel [Auteur]
Beuscart, Regis [Auteur]
Chazard, Emmanuel [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]

Titre de la revue :

Studies in health technology and informatics

Nom court de la revue :

Stud Health Technol Inform

Numéro :

210

Pagination :

409-13

Date de publication :

2015-01-01

ISSN :

0926-9630

Mot(s)-clé(s) en anglais :

big data
data reuse
Medical device
patient safety

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

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 ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

CHU Lille
Université de Lille

Collections :

• METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Date de dépôt :

2019-12-09T18:20:01Z