Accessibility settings

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

Reviews (163) Clinical Information and Decision Making (2125) Digital Health, Telehealth and e-Innovation in Clinical Settings (596) Telehealth and Telemonitoring (2245) Tools, Programs and Algorithms (418) Decision Support for Health Professionals (1674) Machine Learning (2285)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56729, first published .
Improving Triage Accuracy in Prehospital Emergency Telemedicine: Scoping Review of Machine Learning–Enhanced Approaches

Improving Triage Accuracy in Prehospital Emergency Telemedicine: Scoping Review of Machine Learning–Enhanced Approaches

Improving Triage Accuracy in Prehospital Emergency Telemedicine: Scoping Review of Machine Learning–Enhanced Approaches

Authors of this article:

Daniel Raff1 Author Orcid Image ;   Kurtis Stewart2 Author Orcid Image ;   Michelle Christie Yang2 Author Orcid Image ;   Jessie Shang2 Author Orcid Image ;   Sonya Cressman2, 3 Author Orcid Image ;   Roger Tam4, 5 Author Orcid Image ;   Jessica Wong6 Author Orcid Image ;   Martin C Tammemägi7 Author Orcid Image ;   Kendall Ho2 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Chen H, Chen F, Luo J, Chen S. Analysis of research trends and hotspots in emergency department overcrowding: A bibliometric study based on VOSview and Scimago Graphica. Technology and Health Care 2025;33(3):1159 View
  2. Lindström V, Jepsen K, Heldring S, Kanfjäll T, Rådestad M. A real-time communication and information system for triage, positioning, and documentation (TriPoD) in mass-casualty incidents: a qualitative observational study. BMC Emergency Medicine 2025;25(1) View
  3. Thotapalli S, Yilanli M, McKay I, Leever W, Youngstrom E, Harvey‐Nuckles K, Lowder K, Schweitzer S, Sunderland E, Jackson D, Sezgin E. Potential of ChatGPT in youth mental health emergency triage: Comparative analysis with clinicians. Psychiatry and Clinical Neurosciences Reports 2025;4(3) View
  4. Stassen W. Multi-method approach to the development of contextual telephone triage systems. African Journal of Emergency Medicine 2026;16(1):100935 View
  5. Gerhardinger K, Straub J, Lenz J, Lang S, Alt V, Frankewycz B, Kerschbaum M, Klute L. The Potential Role of Large Language Models in Assisting Patients and Guiding Emergency Care Visits. Journal of Clinical Medicine 2026;15(8):3170 View
  6. Fotland S, Berge A, Zakariassen E, Midtbø V, Baste V, Fonnes G, Guribye F, Trattner C, You J, Johansen I. Impact of a Prototype Combining Recommender Functionality With Structured Documentation on Operator Performance in Calls to Medical Communication Centers: Quasi-Experimental Feasibility Study. JMIR Formative Research 2026;10:e87082 View