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Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda
Information & Management ( IF 8.2 ) Pub Date : 2024-04-04 , DOI: 10.1016/j.im.2024.103961
Yikai Yang , Eric W.T. Ngai , Lei Wang

Resistance has historically been considered a salient obstacle to the implementation of information systems, including healthcare information technology. However, artificial intelligence in health care (AIH) reshapes the relationships among technologies, physicians, and patients, and the nature of resistance has thus been transformed. To gain a comprehensive understanding of this phenomenon, this study systematically examines resistance to AIH across health care providers and recipients by reviewing 94 articles. Combining innovation resistance theory and the sociotechnical perspective, we develop an overarching framework to synthesize research and provide agendas for future research. This study constitutes an initial guideline for understanding resistance to AIH.

中文翻译:

医疗保健领域对人工智能的抵制:文献综述、概念框架和研究议程

阻力历来被认为是实施信息系统(包括医疗信息技术)的显着障碍。然而,医疗人工智能(AIH)重塑了技术、医生和患者之间的关系,抵抗的本质也因此发生了转变。为了全面了解这一现象,本研究通过回顾 94 篇文章,系统地考察了医疗保健提供者和接受者对 AIH 的抵抗力。结合创新阻力理论和社会技术视角,我们开发了一个总体框架来综合研究并为未来研究提供议程。这项研究构成了了解 AIH 耐药性的初步指南。
更新日期:2024-04-04
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