摘要
本文旨在深入探讨人工智能技术迅猛发展背景下物联网医疗的应用,系统性地分析其引发的医源性风险,并对风险进行概化、分类和治理路径分析。本文通过系统梳理相关文献,并基于Bogner对医疗故障的分类方法,将医源性风险划分为主动型和潜在型两大类,并识别了物联网技术在医疗应用中的风险因素。研究发现,算法局限性和网络安全问题是造成主动型医源性风险的主要因素,人机融合挑战和监管环境宽松是造成潜在型医源性风险的主要因素。物联网医疗技术在提升医疗服务效率和质量的同时,也带来了医源性风险;研究表明,需要在技术安全监管标准和多元互动的风险规避机制上精准发力才能构建物联网医疗风险控制体系,降低医源性风险。
This paper aims to explore the application of Internet of Things(IoT)in healthcare under the rapid development of artificial intelligence technology,systematically analyze the resulting iatrogenic risks,and examine their conceptualization,classification,and governance pathways.Through a systematic review of relevant literature and based on Bogner's classification of medical failures,this study categorizes iatrogenic risks into active and latent types and identifies risk factors in the medical application of IoT technology.The research finds that algorithm limitations and cybersecurity issues are the main factors contributing to active iatrogenic risks,while human-machine integration challenges and loose regulatory environments are the primary factors leading to latent iatrogenic risks.While IoT medical technology improves healthcare service efficiency and quality,it also introduces iatrogenic risks.The study indicates that precise efforts in technical security regulatory standards and multi-stakeholder risk avoidance mechanisms are necessary to establish an IoT healthcare risk control system and reduce iatrogenic risks.
作者
邓光伟
李世民
梁樑
周成超
DENG Guangwei;LI Shimin;LIANG Liang;ZHOU Chengchao(Department of Public Administration,School of Management,Hefei University of Technology,Hefei 230009,China;School of Public Health,Shandong University,Jinan 250012,China)
出处
《中国公共卫生》
北大核心
2025年第1期17-21,共5页
Chinese Journal of Public Health
基金
安徽省哲学社会科学规划青年项目(AHSKQ2022D074)
国家自然科学基金基础科学中心项目(72188101)
中央高校基本科研业务费专项资金(PA2023GDGP0110)。
关键词
物联网医疗
医源性风险
人工智能技术
综述
medical Internet of Things
iatrogenic risk
artificial intelligence technology
review
