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

Daniel Raff   1 , MD ;   Kurtis Stewart   2 , MSc ;   Michelle Christie Yang   2 , BSc ;   Jessie Shang   2 ;   Sonya Cressman   2, 3 , PhD ;   Roger Tam   4, 5 , PhD ;   Jessica Wong   6 , MSc ;   Martin C Tammemägi   7 , PhD ;   Kendall Ho   2 , MD

1 Department of Family Practice, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada

2 Department of Emergency Medicine, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada

3 Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada

4 School of Biomedical Engineering, Faculty of Applied Science, The University of British Columbia, Vancouver, BC, Canada

5 Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada

6 Computer Science, Faculty of Science, The University of British Columbia, Vancouver, BC, Canada

7 Faculty of Applied Health Sciences, Brock University, St. Catharines, ON, Canada

Corresponding Author:

  • Kendall Ho, MD
  • Department of Emergency Medicine
  • Faculty of Medicine
  • The University of British Columbia
  • 818 W10 Ave
  • 3rd floor
  • Vancouver, BC, V5Z1M9
  • Canada
  • Phone: 1 6048220327
  • Email: kendall.ho@ubc.ca