Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders.

Journal: Journal of the American Board of Family Medicine : JABFM
Published Date: Mar 22, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) implementation in primary care is limited. Those set to be most impacted by AI technology in this setting should guide it's application. We organized a national deliberative dialogue with primary care stakeholders from across Canada to explore how they thought AI should be applied in primary care.

Authors

  • Tara L Upshaw
    From the Upstream Lab, MAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada (TLU, CAN, JM, ADP); Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (TLU); Undergraduate Medical Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (TLU, JM); Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada (CSG); Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (CSG, ADP); Department of Mechanical and Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Ontario, Canada (TCYC); Joint Centre for Bioethics, University of Toronto, Toronto, Ontario, Canada (JG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (JG); Department of Family and Community Medicine, St. Michael's Hospital, Toronto, Ontario, Canada (ADP); Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (ADP).
  • Amy Craig-Neil
    Upstream Lab, MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada.
  • Jillian Macklin
    Upstream Lab, MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada.
  • Carolyn Steele Gray
    From the Upstream Lab, MAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada (TLU, CAN, JM, ADP); Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (TLU); Undergraduate Medical Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (TLU, JM); Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada (CSG); Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (CSG, ADP); Department of Mechanical and Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Ontario, Canada (TCYC); Joint Centre for Bioethics, University of Toronto, Toronto, Ontario, Canada (JG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (JG); Department of Family and Community Medicine, St. Michael's Hospital, Toronto, Ontario, Canada (ADP); Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (ADP).
  • Timothy C Y Chan
    Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario M5S 3G8, Canada and Techna Institute for the Advancement of Technology for Health, 124 - 100 College Street, Toronto, Ontario M5G 1P5, Canada.
  • Jennifer Gibson
    Joint Centre for Bioethics, Dalla Lana School of Public Health, University of Toronto, 155 College Street, Suite 754, Toronto, ON, M5T 1P8, Canada. jennifer.gibson@utoronto.ca.
  • Andrew D Pinto
    Upstream Lab, MAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.

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