Rafael Aroutiunian
Academic title(s):
Assistant Professor
Location:
Jewish General Hospital
Degree(s):
MD, CCFP (EM)
Medical School:
Université de Montréal
Residency Training:
McGill University - Family Medicine (CCFP)
Fellowship Training:
McGill University - Emergency Medicine (CCFP-EM)
Areas of interest:
Healthcare Informatics
Artificial Intelligence & Machine Learning
Telehealth / Telemedicine
Data Science
EMR/EHR Design and Implementation
Information Security
Pre-Hospital Emergency Medicine / EMS / Advanced Paramedics Program
Selected publications:
Grant, L., Xue, X., Vajihi, Z., Azuelos, A., Rosenthal, S., Hopkins, D., Aroutiunian, R., . . . Afilalo, M. (2020). LO32: Artificial intelligence to predict disposition to improve flow in the emergency department. CJEM, 22(S1), S18-S19. doi:10.1017/cem.2020.88