Patient Engagement in Artificial Intelligence Health Research

Exploring Multiple Perspectives on How Patients Can and Should be Involved in the Development of Guidelines for Patient Engagement in Artificial Intelligence (AI) Health Research

Project Status:In progress

Knowledge User(s)

Health Researchers, Patient/Public Partners, Guideline Developers

Funding Source(s)

  • Canadian Institutes of Health Research (CIHR) through the Strategy for Patient-Oriented Research (SPOR) Evidence Alliance

Project Objectives

To understand, from multiple perspectives, the most effective, feasible, and preferred method to engage patients in the development of guidelines for patient engagement in AI health research.

Research Approach

Mixed Methods

Project Lead(s)

Jillian Macklin

Position: University of Toronto

Read more about Jillian here.

Jillian Macklin

University of Toronto

Read more about Jillian here.

Andrew Pinto

Position: University of Toronto

Read more about Andrew here.

Andrew Pinto

University of Toronto

Read more about Andrew here.

Impact Story

Project Outputs

Publication

Presentation