Implementing artificial intelligence in Canadian primary care: Barriers and strategies identified through a national deliberative dialogue.

Journal: PloS one
PMID: 36848339

Abstract

BACKGROUND: With large volumes of longitudinal data in electronic medical records from diverse patients, primary care is primed for disruption by artificial intelligence (AI) technology. With AI applications in primary care still at an early stage in Canada and most countries, there is a unique opportunity to engage key stakeholders in exploring how AI would be used and what implementation would look like.

Authors

  • Katrina Darcel
    Upstream Lab, MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada.
  • Tara Upshaw
    Upstream Lab, MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada.
  • 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
    Bridgepoint Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.
  • 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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