Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges.

Journal: Yearbook of medical informatics
PMID: 31022751

Abstract

BACKGROUND: Artificial intelligence (AI) is heralded as an approach that might augment or substitute for the limited processing power of the human brain of primary health care (PHC) professionals. However, there are concerns that AI-mediated decisions may be hard to validate and challenge, or may result in rogue decisions.

Authors

  • Harshana Liyanage
    University of Surrey, Guildford, UK. h.s.liyanage@surrey.ac.uk.
  • Siaw-Teng Liaw
    School of Public Health and Community Medicine, University of New South Wales, Australia. Electronic address: siaw@unsw.edu.au.
  • Jitendra Jonnagaddala
    School of Public Health and Community Medicine, University of New South Wales, Australia; Asia-Pacific Ubiquitous Healthcare Research Centre, University of New South Wales, Australia; Prince of Wales Clinical School, University of New South Wales, Australia.
  • Richard Schreiber
    Geisinger Holy Spirit, Camp Hill, PA, USA.
  • Craig Kuziemsky
    University of Ottawa, Ottawa, ON, Canada.
  • 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.
  • Simon De Lusignan
    University of Surrey, Guildford, UK.

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