Perceptions of Artificial Intelligence Use in Primary Care: A Qualitative Study with Providers and Staff of Ontario Community Health Centres.

Journal: Journal of the American Board of Family Medicine : JABFM
Published Date:

Abstract

PURPOSE: To understand staff and health care providers' views on potential use of artificial intelligence (AI)-driven tools to help care for patients within a primary care setting.

Authors

  • Danielle M Nash
    From the Department of Epidemiology and Biostatistics, the Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada (DMN, DJL, ALT, MZ); ICES, Ontario, Canada (DMN, MZ); Centre for Studies in Family Medicine, Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada (DMN, CT, JBB, JR, ALT, MZ); Department of Computer Science, Faculty of Science, Western University, London, Ontario, Canada (JKK, DJL); Department of Research and Evaluation, Alliance for Healthier Communities, Toronto, Ontario, Canada (JR); Schulich Interfaculty Program in Public Health, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada (ALT). Danielle.nash@ices.on.ca.
  • Cathy Thorpe
    From the Department of Epidemiology and Biostatistics, the Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada (DMN, DJL, ALT, MZ); ICES, Ontario, Canada (DMN, MZ); Centre for Studies in Family Medicine, Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada (DMN, CT, JBB, JR, ALT, MZ); Department of Computer Science, Faculty of Science, Western University, London, Ontario, Canada (JKK, DJL); Department of Research and Evaluation, Alliance for Healthier Communities, Toronto, Ontario, Canada (JR); Schulich Interfaculty Program in Public Health, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada (ALT).
  • Judith Belle Brown
    Department of Family Medicine, Western University Schulich School of Medicine & Dentistry, London, Ontario, Canada.
  • Jacqueline K Kueper
    Departments of Epidemiology & Biostatistics and Computer Science, Western University, London, Ontario, Canada jkueper@uwo.ca.
  • Jennifer Rayner
    Centre for Studies in Family Medicine, Western University, London, Ontario, Canada.
  • Daniel J Lizotte
    Department of Computer Science, Western University, London, ON, Canada, N6A 3K7.
  • Amanda L Terry
    Centre for Studies in Family Medicine, Department of Family Medicine, Interfaculty Program in Public Health, Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
  • Merrick Zwarenstein
    Departments of Epidemiology & Biostatistics and Family Medicine, Western University, London, Ontario, Canada.