通讯作者: 余中光, yzg081892@163.com

DOI：10.12201/bmr.202411.00081

Research on the current status of medical artificial intelligence application risk research and its identification in China.Dong yi1,Ran ye1,Yu zhong guang2,3.

• 摘要：目的:梳理我国医疗人工智能风险研究现状,进行风险识别,针对性地提出风险应对策略。方法:通过文献计量学方法检索CNKI学术期刊数据库中2015—2024年相关研究成果,对发文量、关键词共现关系进行可视化分析,识别出我国医疗人工智能的研究热点主要聚焦于技术与数据安全风险、伦理与法律风险和风险治理研究,基于TOE理论和文本分析法,从环境、组织、技术、个体四个层面首次总结并提出了医疗人工智能风险识别理论框架,共识别出24项具体风险。结论:从理论和实践角度归纳出本研究的贡献,后续我们应从前期社会规制、医疗机构视角、技术应用和个体义务范围等方面提出具体的风险应对策略入手,保障医疗人工智能应用安全、可持续发展。

  关键词： 医疗人工智能; 风险研究现状; TOE理论; 风险识别

   

  Abstract: Objective: To sort out the current status of medical artificial intelligence risk research in China, conduct risk identification, and propose risk response strategies in a targeted manner. Methods: Through the bibliometric method to search the CNKI academic journal database for relevant research results from 2015 to 2024, and the visualization analysis of the number of publications and keyword co-occurrence relationship, we identified that the research hotspots of medical artificial intelligence in China mainly focus on the technical and data security risks, ethical and legal risks, and risk governance research, and we summarized and proposed a theoretical framework for the identification of medical artificial intelligence risks from environment, organization, technology, and individual levels for the first time, based on the TOE theory and the text Based on the TOE theory and text analysis method, the theoretical framework of medical artificial intelligence risk identification is summarized and proposed for the first time from the four levels of environment,organization, technology, and individual, and a total of 24 specific risks are identified. Conclusion: Subsequently, we should propose specific risk response strategies in terms of pre-social regulation, medical organisation perspectives, and technological applications to guarantee the safe and sustainable development of medical artificial intelligence applications.The contributions of this study are summarized from both theoretical and practical perspectives, starting from the pre-social regulation, healthcare organization perspective, technological applications, and the scope of individual obligations, in order to guarantee the safe and sustainable development of medical artificial intelligence applications.

  Key words: Medical artificial intelligence; current state of risk research; TOE theory; risk identification

  提交时间：2024-11-29

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• 序号	提交日期	编号	操作
  1	2024-10-21	bmr.202411.00081V1	下载

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