Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis
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DOI: 10.1016/j.socscimed.2023.116357
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References listed on IDEAS
- 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.
- 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.
- 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.
- 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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