Devin Hopkins
Assistant Professor

MDCM, CCFP(EM)
McGill University
McGill Family Medicine - Emergency Medicine (CCFP-EM)
Artificial Intelligence & Machine Learning
Data Science
Health Informatics
Geriatric Emergency Medicine
McGill University Department of Emergency Medicine
- Website Committee, Academic Lead
- CCFP(EM) Emergency Medicine Training Program
- Residency Program Committee (RPC)
- Selections Committee
- Website Management
- Health Informatics Fellowship Program
- Fellowship Committee
Jewish General Hospital
- Connected Health Record
- Emergency Department Workgroup, Physician Lead
- Clinical Working Group
- Emergency Department Flow Coordinator
- AAPA (Specialized Approach to Senior Care) Emergency Department Subcommittee
Jewish General Hospital Emergency Department
- Advisory Committee
- IT Committee
- Data Committee
- Patient Experience Committee
Grant, L., Diagne, M., Aroutiunian, R, Hopkins, D., et al. Machine learning outperforms the Canadian Triage and Acuity Scale (CTAS) in predicting need for early critical care. Can J Emerg Med 27, 43–52 (2025).
Grant, L., Xue, X., Vajihi, Z., Azuelos, A., Rosenthal, S., Hopkins, D., . . . Afilalo, M. (2020). LO32: Artificial intelligence to predict disposition to improve flow in the emergency department. Can J Emerg Med, 22(S1), S18-S19.
Large Language Models in Emergency Medicine
June 6, 2024 - Academic Rounds, Health Informatics Fellowship, McGill Emergency Medicine
Artificial Intelligence for Dummies/ER Docs
April 7, 2021 - JGH Day, Academic Rounds, McGill Emergency Medicine
Forecasting Emergency Department Flow Using Machine Learning
January 28, 2021, Academic Rounds, Health Informatics Fellowship, McGill Emergency Medicine