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
{"title":"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","authors":"Yikai Yang ,&nbsp;Eric W.T. Ngai ,&nbsp;Lei Wang","doi":"10.1016/j.im.2024.103961","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":null,"pages":null},"PeriodicalIF":8.2000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda\",\"authors\":\"Yikai Yang ,&nbsp;Eric W.T. Ngai ,&nbsp;Lei Wang\",\"doi\":\"10.1016/j.im.2024.103961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":56291,\"journal\":{\"name\":\"Information & Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2024-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information & Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378720624000430\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378720624000430","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Information & Management
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.
期刊最新文献
Encoding consumer interests into product snippets with a multi-criteria genetic optimization approach Love at first sight: A text analytical study of campaign title impact on crowdfunding success Why do players spend money on mobile massively multiplayer online role-playing games? A Wixom and Todd framework Crossing the chasm: Understanding users’ motivational differences based on stages of online community Wearable discontinuance: Pathways in the volitional information systems discontinuance process
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1