Opinions and Perspectives of Canadian Occupational Therapists’ on Artificial Intelligence
Principal Investigator: Tal Jarus, PhD, OT (C), Professor, Department of Occupational Science & Occupational Therapy, University of British Columbia
Co-Investigators: Minnie Teng, Clinical Instructor, Faculty of Occupational Science and Occupational Therapy, University of British Columbia, Julia Schmidt, PhD, OT, Professor, Department of Occupational Science and Occupational Therapy, University of British Columbia, Parmeet Matharu, Graduate Student, Faculty of Occupational Science and Occupational Therapy, University of British Columbia, and Elizabeth Pertsev, Graduate Student, Faculty of Occupational Science and Occupational Therapy, University of British Columbia
Purpose and description of study:
Artificial intelligence (AI) is increasing its role in occupational therapy assessment and intervention, yet there is no current literature on occupational therapists’ (OTs) perspectives or opinions on AI and its impact on current and future OT practice. This project is focused on exploring the current perspectives and knowledge of registered Canadian OTs about AI through a nationwide survey and focus groups. The collection of this data will help with future navigation and implementation of AI in occupational therapy practice that aligns with the profession’s values and ethics to advance occupational therapy in Canadian healthcare.
This will be a mixed methods study consisting of online surveys and focus groups. Participants will be registered OTs who currently practice in Canada. The survey will be available in both English and French and will include questions on demographics and participants’ opinions and knowledge of AI. After completing the survey, participants will be invited to participate in an optional focus group with other participants at a future date. The focus group will discuss participants’ perceptions and knowledge about AI, AI’s implementation in occupational therapy, potential benefits and risks, and the future of AI in occupational therapy.
Deadline to participate: December 11, 2022 at 11:59pm PST