Title :

Cares: an interactive tool for case-crossover analyses of electronic medical records for patient safety

Author(s) :

Caron, Alexandre [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Chazard, Emmanuel [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Muller, Joris [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Perichon, Renaud [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Ferret, Laurie [Auteur]
Université de Lille
Koutkias, Vassilis [Auteur]
University of Macedonia [Thessaloniki] [UoM]
Beuscart, Regis [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
BEUSCART, Jean-Baptiste [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Ficheur, Gregoire [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]

Journal title :

Journal of the American Medical Informatics Association . JAMIA

Abbreviated title :

J. Am. Med. Inf. Assoc.

Volume number :

24

Pages :

323-330

Publication date :

2017-03-01

ISSN :

1067-5027

English keyword(s) :

clinical epidemiology
adverse event
Patient safety
data analytics
medical informatics
big data
Mesh:Risk
Mesh:Epidemiologic Methods*
Mesh:Electronic Health Records*
Mesh:Databases
Mesh:Factual
Mesh:Cross-Over Studies*
Mesh:Patient Safety*
Mesh:Hemorrhage/etiology
Mesh:Thromboembolism/etiology
Mesh:Humans
Mesh:Software

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

The significant risk of adverse events following medical procedures supports a clinical epidemiological approach based on the analyses of collections of electronic medical records. Data analytical tools might help clinical ...
Show more >The significant risk of adverse events following medical procedures supports a clinical epidemiological approach based on the analyses of collections of electronic medical records. Data analytical tools might help clinical epidemiologists develop more appropriate case-crossover designs for monitoring patient safety. To develop and assess the methodological quality of an interactive tool for use by clinical epidemiologists to systematically design case-crossover analyses of large electronic medical records databases. We developed IT-CARES, an analytical tool implementing case-crossover design, to explore the association between exposures and outcomes. The exposures and outcomes are defined by clinical epidemiologists via lists of codes entered via a user interface screen. We tested IT-CARES on data from the French national inpatient stay database, which documents diagnoses and medical procedures for 170 million inpatient stays between 2007 and 2013. We compared the results of our analysis with reference data from the literature on thromboembolic risk after delivery and bleeding risk after total hip replacement. IT-CARES provides a user interface with 3 columns: (i) the outcome criteria in the left-hand column, (ii) the exposure criteria in the right-hand column, and (iii) the estimated risk (odds ratios, presented in both graphical and tabular formats) in the middle column. The estimated odds ratios were consistent with the reference literature data. IT-CARES may enhance patient safety by facilitating clinical epidemiological studies of adverse events following medical procedures. The tool's usability must be evaluated and improved in further research.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CHU Lille
Université de Lille

Collections :

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

Submission date :

2019-12-09T18:16:10Z
2020-04-16T08:57:35Z