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

被引：1
|
作者：
Yang, Yikai [1 ,2 ,3 ,4 ]
Ngai, Eric W. T. [2 ]
Wang, Lei [1 ,3 ,4 ]
机构：
[1] Zhejiang Univ, Sch Management, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China
[2] Hong Kong Polytech Univ, Dept Management & Mkt, Hong Kong, Peoples R China
[3] Zhejiang Univ, Neuromanagement Lab, Hangzhou, Peoples R China
[4] Zhejiang Univ, State Key Lab Brain Machine Intelligence, Hangzhou, Peoples R China
来源：
INFORMATION & MANAGEMENT | 2024年 / 61卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Artificial intelligence; Health care; Resistance; Systematic literature review; Healthcare information technology; INFORMATION-TECHNOLOGY; USER RESISTANCE; THEORETICAL-MODEL; MIXED METHODS; ROBOT; ADOPTION; ATTITUDES; SYSTEMS; DETERMINANTS; PERSONALITY;
D O I：
10.1016/j.im.2024.103961
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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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收藏
页数：19
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