我国医疗人工智能风险研究现状及风险识别  

Study on the Current Status of Medical Artificial Intelligence Application Risk Research and Risk Identification in China

作　　者：董怡 冉晔[1] 余中光[2] DONG Yi;RAN Ye;YU Zhongguang(College of Humanities,Beijing University of Chinese Medicine,Beijing 102488,China;Respiratory Centre,China-Japan Friendship Hospital,Beijing 100029,China)

机构地区：[1]北京中医药大学人文学院,北京102488 [2]中日友好医院呼吸中心,北京100029

出　　处：《医学信息学杂志》2025年第3期24-28,共5页Journal of Medical Informatics

基　　金：国家自然科学基金青年基金项目(项目编号:72104255);中国医学科学院医学与健康科技创新工程项目(项目编号:2021-I2M-1-046);中日友好医院高水平项目(项目编号:2024-NHLHCRF-GL-12)。

摘　　要：目的/意义梳理我国医疗人工智能风险研究现状,针对相关风险提出应对策略。方法/过程运用文献计量学方法识别研究热点。基于技术-组织-环境理论和文本分析法,从环境、组织、技术、个体4个层面总结并提出医疗人工智能风险识别理论框架。结果/结论共识别出24项具体风险,并从制度体系建设、组织风险管控、个体义务范围和技术应用等方面提出建议。Purpose/Significance To sort out the current status of medical artificial intelligence(AI)risk research in China,and to propose coping strategies for related risks.Method/Process Research hotspots are identified by using bibliometric methods.Based on the technology-organization-environment theory and textual analysis method,the paper summarizes and proposes a theoretical framework for medical AI risk identification from 4 levels:environment,organization,technology,and individual.Result/Conclusion A total of 24 specific risks are identified and recommendations are made in terms of institutional system construction,organization risk control,scope of individual obligations,and technology application,etc.

关 键 词：医疗人工智能 技术-组织-环境理论 风险识别 

分 类 号：R-058[医药卫生]