摘要
我国大多数医院药品存货已在医院流动资金中具有较高的占比,在系统重塑疾控体系的背景下,居民对药品的需求量进一步增大,加之公立医院药品零差率改革的要求,公立医院既要控制药品成本确保财务状况健康运行,又要维持药品的供需平衡,面临着前所未有的药品风险防控难题。本文首先剖析影响医院内部药品风险防控的关键因素,然后基于控制论思想,提出解决药品风险防控问题的理论框架,从基于人工智能技术的药品最优采购顶层规划与综合大数据监管、药品自制与科学审计的底层实施两个维度的反馈作用调节医院药品成本,最终以达到实时监控财务风险,实现有效药品风险防控的目的。
Most hospitals in China have a high proportion of drug inventory in their working capital.Against the backdrop of reshaping the disease control system,the demand for drugs from residents has further increased.In addition,the requirement for zero margin reform of drugs in public hospitals means that public hospitals not only need to control drug costs to ensure healthy financial operations,but also maintain a balance between drug supply and demand,facing unprecedented challenges in drug risk prevention and control.This article first analyzes the key factors that affect drug risk prevention and control within hospitals.Then,based on the idea of control theory,a theoretical framework is proposed to solve the problem of drug risk prevention and control.The hospital's drug costs are regulated through the feedback effect of two dimensions:the top-level planning of the optimal drug procurement based on artificial intelligence technology and the comprehensive big data supervision,as well as the bottom-level implementation of drug self-production and scientific auditing.The ultimate goal is to achieve real-time monitoring of financial risks and effective drug risk prevention and control.
作者
孙小丁
SUN Xiaoding(Shengjing Hospital of China Medical University,Shenyang 110004,China)
出处
《现代医院管理》
2025年第4期61-63,共3页
Modern Hospital Management
关键词
药品核算
风险防控
成本控制
人工智能
drug accounting
risk prevention and control
cost control
artificial intelligence
