Department of Digitalization, Copenhagen Business School, 2000 Frederiksberg, Denmark.
Int J Environ Res Public Health. 2021 Dec 1;18(23):12682. doi: 10.3390/ijerph182312682.
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.
虽然人工智能（AI）在医疗保健中的应用仍处于早期阶段，但了解影响其采用的因素很重要。本研究采用定性的多案例研究方法，对中国的三家医院进行研究，从社会权力的角度探讨了影响人工智能采用的因素，同时考虑了人工智能系统的学习算法能力。研究通过半结构化访谈、参与式观察和文件分析收集数据，并使用 NVivo 11 进行分析。我们将六种社会权力分为基于知识和非基于知识的权力结构，揭示了与人工智能学习算法能力相关的社会权力模式。
