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

Design of Processes and Workflows (108) Safety and Error Prevention in Health (206) Clinical Information and Decision Making (1434) Design and Usability of Clinical Software and EHRs (271) Artificial Intelligence (1421) Decision Support for Health Professionals (1210) Focus Groups and Qualitative Research for Human Factors Research (880) Clinical Information and Decision Making (34)

Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39234, first published .
Electronic Diagnostic Support in Emergency Physician Triage: Qualitative Study With Thematic Analysis of Interviews

Electronic Diagnostic Support in Emergency Physician Triage: Qualitative Study With Thematic Analysis of Interviews

Electronic Diagnostic Support in Emergency Physician Triage: Qualitative Study With Thematic Analysis of Interviews

Authors of this article:

Matthew Sibbald1 Author Orcid Image ;   Bashayer Abdulla1 Author Orcid Image ;   Amy Keuhl1 Author Orcid Image ;   Geoffrey Norman2 Author Orcid Image ;   Sandra Monteiro1 Author Orcid Image ;   Jonathan Sherbino1 Author Orcid Image
Article Authors Cited by (5) Tweetations (10) Metrics

Journals

  1. Olson A, Kämmer J, Taher A, Johnston R, Yang Q, Mondoux S, Monteiro S. The inseparability of context and clinical reasoning. Journal of Evaluation in Clinical Practice 2024;30(4):533 View
  2. Ling Kuo R, Freethy A, Smith J, Hill R, C J, Jerome D, Harriss E, Collins G, Tutton E, Furniss D. Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis. eClinicalMedicine 2024;71:102555 View
  3. Norman G, Pelaccia T, Wyer P, Sherbino J. Dual process models of clinical reasoning: The central role of knowledge in diagnostic expertise. Journal of Evaluation in Clinical Practice 2024;30(5):788 View
  4. Strodthoff N, Lopez Alcaraz J, Haverkamp W. Prospects for artificial intelligence-enhanced electrocardiogram as a unified screening tool for cardiac and non-cardiac conditions: an explorative study in emergency care. European Heart Journal - Digital Health 2024;5(4):454 View
  5. Preti L, Ardito V, Compagni A, Petracca F, Cappellaro G. Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies. Journal of Medical Internet Research 2024;26:e55897 View