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HLTH 668MApplied Generative AI in Health: Evaluation, Safety, Governance, and Responsible Use

Units
0.25
Level
Graduate
Faculty
Health
Subject
Public Health Sciences

HLTH 668M as listed in the Fall 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.

This course focuses on the practical application, evaluation, and responsible integration of Generative Artificial Intelligence (GenAI) technologies in clinical medicine, public health, and health system operations. Students will explore real-world GenAI tools—including large language models (LLMs), clinical documentation copilots, chatbot, and synthetic data platforms—and learn how to assess accuracy, reliability, privacy risks, fairness impacts, and clinical safety. Emphasis is placed on practical evaluation frameworks, health-sector governance, and the regulatory context (PHIPA, PIPEDA, FDA/Health Canada guidance). Students will analyze real-world use cases, such as AI Scribe for clinical summarization, Chatbot for public health communication, LLM for social media data processing and qualitative analysis, and synthetic data generation. Ethical considerations—including bias, hallucination risks, accountability, safety monitoring, and transparency—are woven throughout the case studies.

Prerequisites

None listed.

Antirequisites

None listed.

Leads to

No course lists it as a requisite.

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar