Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine

A study of prospective physicians in Canada

Bibliographic Data

ID15328564
AuthorsGerit Wagner (0000-0003-3926-7717, Otto-Friedrich Universität, corresponding author), Mickaël Ringeval (0000-0002-6397-5660, HEC Montréal), Louis Raymond (0000-0003-1631-8171, Université du Québec à Trois-Rivières), George Pare (0000-0001-7425-1994, HEC Montréal)
Year2025
Volume30
Issue1
Pages2459910-2459910
Publication date2025-01-31
Open AccessYes
TypeARTICLE
VenueMedical Education Online (JOURNAL)
Journal identifiersISSN: 1087-2981 • E-ISSN: 1087-2981
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10872981.2025.2459910
PMID39890587
OpenAlexW4407022608
LanguageEN
Citations received1
References cited56

The study underscores the necessity of enhancing students' competences related to dHealth and considering their perceptions of the role of AI in the medical profession. In particular, the low levels of experiential dHealth competences highlight a promising starting point for training future physicians while simultaneously strengthening their practice of EBM. Accordingly, we suggest revising medical curricula to focus on providing students with practical experiences with dHealth and AI technologies

Alternative medicine · Family medicine · Medical education · Pathology · Artificial Intelligence in Healthcare · Artificial Intelligence in Healthcare and Education · Electronic Health Records Systems · Medicine · Psychology

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Open DOIOpen Access