Published on in Vol 27 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52244, first published .
Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study

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

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

Journals

  1. Alsudairy N, Alahdal A, Alrashidi M, Altashkandi D, Alzaidi S, Alghamdi A, Alzahrani S. Artificial Intelligence in Primary Care Decision-Making: Survey of Healthcare Professionals in Saudi Arabia. Cureus 2025 View
  2. Završnik J, Kokol P, Žlahtič B, Blažun Vošner H. Machine Learning in Primary Health Care: The Research Landscape. Healthcare 2025;13(13):1629 View
  3. Garies S, Meaney C, Weyman K, Bloch G, Gronsbell J, Vahidi-Williams N, Wang R, Crampton N, Tu K, Pinto A. Testing regular expression searches and machine learning models to determine housing instability and low income status from primary care electronic medical record data in Toronto, Ontario. BMC Public Health 2025;25(1) View
  4. O'Rourke J, Smithman M, Fortuna I, San Antonio E, Gupta A, Kosowan L, Pinto A. Advancing Health Equity Through Primary Care: Protocol for the Spread, Scale, and Multimethod Developmental Evaluation of the Deep End Canada Network. JMIR Research Protocols 2025;14:e75732 View
  5. Jiang T, Wei N, Yan Q, Ye W. How public discourse on medical AI shapes governance expectations: a Weibo-based mixed-methods study from China. Frontiers in Public Health 2025;13 View