医疗保健领域对人工智能的抵触情绪：文献综述、概念框架和研究议程

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management Pub Date : 2024-04-04 DOI:10.1016/j.im.2024.103961

Yikai Yang , Eric W.T. Ngai , Lei Wang

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引用次数: 0

摘要

阻力历来被认为是实施信息系统（包括医疗信息技术）的一个突出障碍。然而，医疗保健中的人工智能（AIH）重塑了技术、医生和患者之间的关系，阻力的性质也因此发生了变化。为了全面了解这一现象，本研究通过查阅 94 篇文章，系统地研究了医疗服务提供者和接受者对人工智能医疗的抵制。结合创新阻力理论和社会技术视角，我们建立了一个总体框架，以综合各项研究并为未来研究提供议程。本研究为了解人工智能医疗的阻力提供了初步指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda

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.

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来源期刊

Information & Management 工程技术-计算机：信息系统

CiteScore

17.90

自引率

6.10%

发文量

123

审稿时长

1 months

期刊介绍： Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.