系统管理学报2026，Vol.35Issue(5)：1286-1298,13.DOI:10.3969/j.issn2097-4558.2026.05.011
基于系统动力学的生成式人工智能医疗系统风险评估与联合控制策略
Risk Assessment and Integrated Control Strategies for Generative AI Healthcare Systems Based on System Dynamics
摘要
Abstract
With the rapid development of intelligent healthcare,technologies such as big data,cloud computing,and generative artificial intelligence(AI)have profoundly reshaped medical services while simultaneously introducing multidimensional systemic risks.To systematically assess the evolutionary mechanisms of these risks,this paper constructs a three-dimensional risk analysis framework of"technology-ethics-environment,"comprehensively identifying and characterizing key risk factors and their interaction pathways in generative AI-based healthcare systems.Based on a system dynamics approach,it develops a dynamic simulation model of risks in generative AI healthcare systems and conducts risk control scenario simulations using Vensim PLE software.The results indicate that,within the overall risk structure,technological risks account for the largest proportion,with algorithmic inference risk being the most prominent,followed by ethical risks,while environmental risks are relatively smaller.Furthermore,the simulation of the risk control system shows that integrated control strategies can effectively reduce the overall level of intelligent healthcare risk.This paper moves beyond the traditional static perspective on intelligent healthcare risks,revealing the mechanisms of risk interaction and evolutionary trends from a systems perspective,thereby providing theoretical support and policy guidance for the governance of intelligent healthcare risks.关键词
生成式人工智能/医疗系统/风险控制/系统动力学/敏感性分析Key words
generative artificial intelligence(AI)/healthcare system/risk control/system dynamics/sensitivity analysis分类
信息技术与安全科学引用本文复制引用
王亚丽,邓朝华,柯玮玲,张千帆..基于系统动力学的生成式人工智能医疗系统风险评估与联合控制策略[J].系统管理学报,2026,35(5):1286-1298,13.基金项目
国家自然科学基金资助项目(72271102) （72271102）
国家社会科学基金资助项目(22VRC153) （22VRC153）
