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Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis

Author

Listed:
  • Vo, Vinh
  • Chen, Gang
  • Aquino, Yves Saint James
  • Carter, Stacy M.
  • Do, Quynh Nga
  • Woode, Maame Esi

Abstract

Despite the proliferation of Artificial Intelligence (AI) technology over the last decade, clinician, patient, and public perceptions of its use in healthcare raise a number of ethical, legal and social questions. We systematically review the literature on attitudes towards the use of AI in healthcare from patients, the general public and health professionals’ perspectives to understand these issues from multiple perspectives.

Suggested Citation

  • Vo, Vinh & Chen, Gang & Aquino, Yves Saint James & Carter, Stacy M. & Do, Quynh Nga & Woode, Maame Esi, 2023. "Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis," Social Science & Medicine, Elsevier, vol. 338(C).
  • Handle: RePEc:eee:socmed:v:338:y:2023:i:c:s0277953623007141
    DOI: 10.1016/j.socscimed.2023.116357
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    References listed on IDEAS

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    1. Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
    2. Wenjuan Fan & Jingnan Liu & Shuwan Zhu & Panos M. Pardalos, 2020. "Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)," Annals of Operations Research, Springer, vol. 294(1), pages 567-592, November.
    3. Andreas Behr & Katja Theune, 2017. "Health System Efficiency: A Fragmented Picture Based on OECD Data," PharmacoEconomics - Open, Springer, vol. 1(3), pages 203-221, September.
    4. Charlotte Blease & Anna Kharko & Cosima Locher & Catherine M DesRoches & Kenneth D Mandl, 2020. "US primary care in 2029: A Delphi survey on the impact of machine learning," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
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    More about this item

    Keywords

    Artificial intelligence; Healthcare; Health professional; General public; Patients;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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