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

Tara Qian Sun
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Tara Qian Sun: Department of Digitalization, Copenhagen Business School, 2000 Frederiksberg, Denmark

IJERPH, 2021, vol. 18, issue 23, 1-20

Abstract: 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.

Keywords: artificial intelligence; learning algorithm; social power; healthcare; AI adoption; IT adoption; influencing factor (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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