Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: The rhetoric surrounding clinical artificial intelligence (AI) often exaggerates its effect on real-world care. Limited understanding of the factors that influence its implementation can perpetuate this.

Authors

  • Henry David Jeffry Hogg
    Population Health Science Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Mohaimen Al-Zubaidy
    Population Health Science Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • James Talks
    Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.
  • Alastair K Denniston
    Centre for Patient Reported Outcomes Research Institute of Applied Health Research University of Birmingham Birmingham Reino Unido Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, Reino Unido.
  • Christopher J Kelly
    Google Health, London, UK. cjkelly@google.com.
  • Johann Malawana
    Research Unit, The Healthcare Leadership Academy, London, UK.
  • Chrysanthi Papoutsi
    Nuffield Department of Primary Healthcare Sciences, Oxford University, Oxford, United Kingdom.
  • Marion Dawn Teare
    Population Health Science Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Pearse A Keane
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • Fiona R Beyer
    Evidence Synthesis Group, Population Health Science Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Gregory Maniatopoulos
    Population Health Science Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.