AI in Medical Education

What problem are we solving?

Health professional learners are encountering AI in clinical and academic settings, but training is uneven and often not integrated into interprofessional practice contexts.

What we are building

A structured set of learning objectives, teaching sessions, and assessment-aligned materials integrated into an interprofessional course, paired with a scholarship-of-teaching evaluation strategy.

Methods

• Pre- and Post-session, assignment, and end-of-course survey instruments (paired)
• Descriptive and inferential analysis to characterize perceived competence, attitudes, and readiness
• Focus on practical competencies (interpretation, limitations, safety, and team-based application)

My role

Co-design of curriculum elements, survey/evaluation design, analysis plan, and manuscript development.

Current status

Data collection complete/ongoing (depending on cohort); analysis and manuscript drafting in progress.

Outputs

• Teaching materials
• Conference abstracts & talks (done)
• Scholarship-of-teaching manuscript (in progress)