AI提升医院物流韧性，关键在自适应管理与持续改进机制
Artificial intelligence-driven improvement of hospital logistics management resilience: a practical exploration based on H Hospital
- 用PDCA循环框架分析AI如何优化物流流程
- 94.7%员工感知AI应用，设备维护改善达41.1%
- 适合关注智慧医疗与应急管理的医院管理者
医院物流管理面临内部运营与外部突发状况的双重压力，人工智能（AI）具备提升其韧性的潜力。本研究基于H医院的混合方法案例研究，结合12名关键人员访谈和151名物流人员的全面调查，以PDCA循环为分析框架，采用主题分析与定量分析（分层回归、结构方程模型）进行数据处理。结果显示，94.7%的工作人员感知到AI的应用，其中设备维护改善程度最高（41.1%），资源调配提升33.1%，但应急响应仅改善18.54%，风险管控改善15.23%。AI整合与物流韧性呈显著正相关（η=0.642, p<0.001），管理系统的适应性起到正向调节作用（η=0.208, p<0.01）。PDCA循环在AI与韧性之间起完全中介作用。结论表明，AI能有效增强物流韧性，前提是具备自适应管理体系与结构化持续改进机制。研究提出针对性策略，构建AI驱动的闭环韧性机制，为医院物流智能化融合与韧性医疗系统建设提供实证指导。
原文摘要 · Abstract (English)
Hospital logistics management faces growing pressure from internal operations and external emergencies, with artificial intelligence (AI) holding untapped potential to boost its resilience. This study explores AI's role in enhancing logistics resilience via a mixed-methods case study of H Hospital, combining 12 key informant interviews and a full survey of 151 logistics staff, with the PDCA cycle as the analytical framework. Thematic and quantitative analyses (hierarchical regression, structural equation modeling) were adopted for data analysis. Results showed 94.7% staff perceived AI application, with the strongest improvements in equipment maintenance (41.1%) and resource allocation (33.1%), but limited effects in emergency response (18.54%) and risk management (15.23%). AI integration positively correlated with logistics resilience (\b{eta}=0.642, p<0.001), with management system adaptability as a positive moderator (\b{eta}=0.208, p<0.01). The PDCA cycle fully mediated the AI-resilience relationship. We conclude AI effectively enhances logistics resilience, dependent on adaptive management systems and structured continuous improvement mechanisms. Targeted strategies are proposed to form an AI-driven closed-loop resilience mechanism, offering empirical guidance for AI-hospital logistics integration and resilient health system construction.
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