Artificial intelligence and health inequities in primary care: a systematic scoping review and framework.

Journal: Family medicine and community health
Published Date: Nov 1, 2022

Abstract

OBJECTIVE: Artificial intelligence (AI) will have a significant impact on healthcare over the coming decade. At the same time, health inequity remains one of the biggest challenges. Primary care is both a driver and a mitigator of health inequities and with AI gaining traction in primary care, there is a need for a holistic understanding of how AI affect health inequities, through the act of providing care and through potential system effects. This paper presents a systematic scoping review of the ways AI implementation in primary care may impact health inequity.

Authors

  • Alexander d'Elia
    Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK adelia@liverpool.ac.uk.
  • Mark Gabbay
    Primary Care and Mental Health, University of Liverpool, Liverpool, UK.
  • Sarah Rodgers
    Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
  • Ciara Kierans
    Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
  • Elisa Jones
    Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
  • Irum Durrani
    ARC NWC, University of Liverpool, Liverpool, UK.
  • Adele Thomas
    ARC NWC, University of Liverpool, Liverpool, UK.
  • Lucy Frith
    Centre for Social Ethics & Policy, The University of Manchester, Manchester, UK.

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