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From bedside observations to clinical decision support system (CDSS) rules: using real-world adverse drug events (ADEs) data to identify high-risk iatrogenic situations

delete2026-06-20
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A
Audrey Dintilhac *
L
Laura Lohan
M
Marion Laureau
D
Damien Perier
P
Philippe Cestac
B
Blandine Juillard‐Condat
C
Cyril Breuker
DOI:10.1016/j.ijmedinf.2026.106552delete
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Abstract

Abstract

En 中文
• Adverse drug events (ADEs) create a major clinical and economic burden. • Pharmacists must prioritize high-risk patients using clinical decision support system. • Rules were developed from ADEs identified in an emergency department. • Rules were developed using statistical models. • Clinical relevance of rules needs further evaluation to reduce over-alerting.
Keywords:
Clinical decision support system
Adverse drug event
Clinical pharmacy
Iatrogenic risk
Emergency department
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Journal

International Journal of Medical Informatics cover
International Journal of Medical Informatics
IF:
4.1
Papers:
4.5K
Citations:
1.1W

Organization

T
Toulouse University Hospital
Scholars:
252
Papers: 120
Citations: 1
M
montpellier university hospital
Scholars:
162
Papers: 73
Citations: 0
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