HLTH - Health Sciences

This course introduces students to health topics including human health, health equity, and health systems - with a particular focus on possible vocational roles in health and health adjacent positions. Foundational principles specific to team-based practice are introduced. (Offered jointly by the following faculties: Kinesiology, Sport and Recreation; Medicine and Dentistry; Nursing; Pharmacy and Pharmaceutical Sciences; Public Health; and Rehabilitation Medicine) [Health Sciences Council].

This course introduces students to AI and health data for healthcare settings. This foundational course will include a panel of experts from various fields that will provide students with a general understanding of how artificial intelligence (AI) technologies are applied in real-world health settings. It introduces students to a range of AI applications across health areas, highlighting the transformative potential of AI in driving health system transformation and innovation.

AI researchers, industry, governments and society have major concerns about the increasing deployment of AI in health without ensuring these systems are aligned to patient needs. Aligning AI to the needs of real people will focus on the ethical, safe, and co-constructed deployment of AI in health and clinical settings. Students will engage in online discussion about philosophical and implementation points of view through exploring the ethical, legal, and technical dimensions of AI and data governance in healthcare. Students will examine privacy, security, and regulatory frameworks at individual, community, and societal levels. Prerequisite: HLTH 500.

This course focuses on visualizing health data, discovering insights and communicating its insights in a way that helps transform public health initiatives, healthcare delivery and operations. Students will explore data preparation, visualization, clear communication, leadership, and change management, to unearth AI-driven insights by using real world data. Students will gain the skills needed to describe the concepts, methodologies, and applications of data discovery, visualization and analysis. Prerequisite: HLTH 500.

This course provides students with opportunities to apply, analyze, and integrate AI in healthcare based on their professional contexts, research interests, and policy considerations. The course bridges AI literacy, real-world implementation cases from industry partner presentations, ethical considerations, and policy development to help students navigate AI's evolving role in health systems. Through applied projects, students will explore AI's impact on governance, regulatory frameworks, and emerging trends in healthcare AI. Students will develop a roadmap or 'pitch' for AI integration tailored to their work environment or professional interests. Prerequisite: HLTH 500.