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This paper is in the following e-collection/theme issue:

Applications of AI (344) Clinical Information and Decision Making (2070) Decision Support for Health Professionals (1637) Machine Learning (2229) Organizational Issues (235) Clinical Informatics (1444)

Published on in Vol 5 (2026)

This is a member publication of Eindhoven University of Technology

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80448, first published .
Evaluating an AI Decision Support System for the Emergency Department: Retrospective Study

Evaluating an AI Decision Support System for the Emergency Department: Retrospective Study

Evaluating an AI Decision Support System for the Emergency Department: Retrospective Study

Authors of this article:

Yvette Van Der Haas1, 2 Author Orcid Image ;   Wiesje Roskamp2 Author Orcid Image ;   Lidwina Elisabeth Maria Chang-Willems2 Author Orcid Image ;   Boudewijn van Dongen1 Author Orcid Image ;   Swetta Jansen2 Author Orcid Image ;   Annemarie de Jong2 Author Orcid Image ;   Renata Medeiros de Carvalho1 Author Orcid Image ;   Dorien Melman2 Author Orcid Image ;   Arjan van de Merwe2 ;   Marieke Bastian-Sanders2 Author Orcid Image ;   Bart Overbeek2 Author Orcid Image ;   Rogier Leendert Charles Plas2 Author Orcid Image ;   Marleen Vreeburg2 Author Orcid Image ;   Thomas van Dijk2 Author Orcid Image
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Journals

  1. Aydın Ö, Tatlı M. From accuracy to impact: Bridging the methodological gap in artificial intelligence for emergency department care. The American Journal of Emergency Medicine 2026 View