Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms

Tara Qian Sun*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Although the use of artificial intelligence (AI) in healthcare is still in its early stages, it is important to understand the factors influencing its adoption. Using a qualitative multi-case study of three hospitals in China, we explored the research of factors affecting AI adoption from a social power perspective with consideration of the learning algorithm abilities of AI systems. Data were collected through semi-structured interviews, participative observations, and document analysis, and analyzed using NVivo 11. We classified six social powers into knowledge-based and non-knowledge-based power structures, revealing a social power pattern related to the learning algorithm ability of AI.
Original languageEnglish
Article number12682
JournalInternational Journal of Environmental Research and Public Health
Issue number23
Number of pages20
Publication statusPublished - 1 Dec 2021


  • Artificial intelligence
  • Learning algorithm
  • Social power
  • Healthcare
  • AI adoption
  • IT adoption
  • Influencing factor

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