Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study.

Journal: Journal of medical Internet research
PMID: 40053728

Abstract

BACKGROUND: Data on the social determinants of health could be used to improve care, support quality improvement initiatives, and track progress toward health equity. However, this data collection is not widespread. Artificial intelligence (AI), specifically natural language processing and machine learning, could be used to derive social determinants of health data from electronic medical records. This could reduce the time and resources required to obtain social determinants of health data.

Authors

  • Victoria H Davis
    Department of Health Behavior and Health Equity, School of Public Health, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.
  • Jinfan Rose Qiang
    Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
  • Itunuoluwa Adekoya MacCarthy
    Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
  • Dana Howse
    Primary Healthcare Research Unit, Memorial University of Newfoundland and Labrador, St. John's, NL, Canada.
  • Abigail Zita Seshie
    Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
  • Leanne Kosowan
    Department of Family Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada. Electronic address: leanne.kosowan@umanitoba.ca.
  • Alannah Delahunty-Pike
    Department of Family Medicine, Dalhousie University, Halifax, NS, Canada.
  • Eunice Abaga
    Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
  • Jane Cooney
    Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
  • Marjeiry Robinson
    Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
  • Dorothy Senior
    Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
  • Alexander Zsager
    Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
  • Kris Aubrey-Bassler
    Primary Healthcare Research Unit, Memorial University of Newfoundland and Labrador, St. John's, NL, Canada.
  • Mandi Irwin
    Department of Family Medicine, Dalhousie University, Halifax, NS, Canada.
  • Lois A Jackson
    School of Health and Human Performance, Dalhousie University, Halifax, NS, Canada.
  • Alan Katz
    Manitoba Centre for Health Policy, Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba.
  • Emily Gard Marshall
    Department of Family Medicine, Dalhousie University, Halifax, NS, Canada.
  • Nazeem Muhajarine
    Department of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, SK, S7N 5E5, Canada.
  • Cory Neudorf
    Department of Community Health & Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
  • Stephanie Garies
    Postdoctoral fellow (at the time of writing) affiliated with the Department of Family and Community Medicine through St Michael's Hospital at Unity Health Toronto in Ontario, and with the Upstream Lab in the MAP Centre for Urban Health Solutions.
  • 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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