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Application of AI and Operational Research in
Family Medicine Practice 

Assistant Professor, Dept. of Family Medicine
McGill University

Date: December 9, 2020
Time: 1:00 PM - 2:00 PM ADT
Venue: Online Event

Abstract

In health care systems, individuals need to make (often complex) decisions in different levels (micro, meso and macro levels). Artificial intelligence (AI) and operations research (OR) are showing promises in different industries including health care. Data-driven and model-driven techniques obtained from AI, OR and data mining have been developed to facilitates making high quality, evidence informed decisions in healthcare. However, they have been rarely implemented in clinical practice. The overall aim of this presentation is to give an overview of applications of AI in primary health care, highlight some lessons learned in clinical practice, and present results of some of ongoing projects (led by Dr. Rahimi) on use of AI/OR in clinical practice.

Speaker Biography

Samira Rahimi Eng. Ph.D. is an Assistant Professor in the Department of Family Medicine at McGill University, and affiliated scientist at Lady Davis Institute for Medical Research of the Jewish General Hospital.

She is FRQS Junior 1 Research Scholar, and regular member of Institute of Electrical and Electronics Engineers (IEEE), Association for the Advancement of Artificial Intelligence (AAAI), OBVIA, CIRRELT-IVADO, Cardiometabolic Health Diabetes and Obesity research network (CMDO), Canadian Consortium on Neurodegeneration in Aging (CCNA) and society officer of Canadian Operational Research Society.

Dr. Rahimi completed her postdoctoral training at Family and Emergency Medicine Department of Université Laval, and her doctorate studies (in Industrial and System Engineering with a focus on health care systems) at Mechanical Engineering Department of Université Laval. She is the recipient of numerous scholarships, fellowships, and awards among them the 2015 Canada Women in Engineering award of IEEE.

With an interdisciplinary background, she is interested in the development, evaluation, and implementation of clinical decision support tools and patient decision aids, as well as integrating human-centered AI tools in primary health care. Her work as Principal Investigator has been funded by the Fonds de recherche du Québec – Santé (FRQS), Natural Sciences and Engineering Research Council (NSERC), Roche Canada, Brocher Foundation (Switzerland), and the Strategy for Patient-Oriented Research (SPOR)-Canadian Institutes of Health Research (CIHR).

Contact Person:
Prof. Floris Goerlandt
email: floris.goerlandt@dal.ca

General Enquiry:
Ms. Tara Parker
Tel: 902.494.3281
email: ieng@dal.ca