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

Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (301) Clinical Informatics (2390) Clinical Information and Decision Making (3888) Adoption and Change Management of eHealth Systems (1159) Decision Support for Health Professionals (2343) Focus Groups and Qualitative Research for Human Factors Research (1598) Artificial Intelligence (5017)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85228, first published .
Two female doctors in white coats analyzing patient data on a computer screen in a hospital room.

Understanding Clinicians’ Informational Needs for AI-Driven Clinical Decision Support Systems: Qualitative Interview Study

Understanding Clinicians’ Informational Needs for AI-Driven Clinical Decision Support Systems: Qualitative Interview Study

Authors of this article:

Simone Mingels1 Author Orcid Image ;   Hannah Piehl1 Author Orcid Image ;   Madeline Therrien1 Author Orcid Image ;   Ekaterina Akhmad1 Author Orcid Image ;   Anniek van Hienen1 Author Orcid Image ;   Johan van Soest1, 2 Author Orcid Image ;   Laura Hochstenbach3 Author Orcid Image ;   Andre Dekker1 Author Orcid Image ;   Olga Damman4 Author Orcid Image ;   Rianne Fijten1 Author Orcid Image
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Journals

  1. Xia X, Khan W, Khan Q, Zhong C, Khan M. Artificial intelligence in cardiovascular imaging and risk stratification: From algorithmic discovery to meaningful clinical implication. Trends in Cardiovascular Medicine 2026 View
  2. Matza-Aldaz N, Zambrano-Baque W. <b>Inteligencia artificial en la toma de decisiones clínicas: revisión sistemática con síntesis narrativa de la literatura publicada entre 2019 y 2026</b>. INNOVATE: Research Journal 2026;2(1):35 View