FMED 605 AI and Analytical Decision-Making in Healthcare (1 credit)

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Offered by: Family Medicine (Faculty of Medicine and Health Sciences)

Administered by: Graduate Studies


Family Medicine : An examination of the role of data and value informed decision-making in better health and healthcare. Includes the concepts, methods and techniques obtained from Artificial Intelligence (AI) and operations research (OR) for optimal, high quality decision-making in healthcare. Also introduces the concept of shared decision-making and its tools to meaningfully engage patients in decision-making process in healthcare.

Terms: This course is not scheduled for the 2023-2024 academic year.

Instructors: There are no professors associated with this course for the 2023-2024 academic year.

  • Prerequisite: A basic course in statistics and permission from the instructor

  • Examples will be tailored to the interests of the students.

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