基于GCRA-DEA方法的医疗资源配置优化  

Optimal Allocation of Medical and Health Resources Based on GCRA-DEA Model

作　　者：王明珠 卢子芳 常家宝 朱卫未[3,4] WANG Mingzhu;LU Zifang;CHANG Jiabao;ZHU Weiwei(School of Management,Nanjing University of Posts&Telecommunications,Nanjing 210000;Jiangsu Infectious Disease Hospital,Nanjing 210000;Institute of High Quality Development,Nanjing University of Posts&Telecommunications,Nanjing 210003;Information Industry Integration Innovation&Emergency Management Research Center,Nanjing University of Posts&Telecommunications,Nanjing 210003,China)

机构地区：[1]南京邮电大学管理学院,江苏南京210000 [2]江苏省传染病医院,江苏南京210000 [3]南京邮电大学高质量发展评价研究院,江苏南京210003 [4]南京邮电大学信息产业融合创新与应急管理研究中心,江苏南京210003

出　　处：《物流技术》2021年第12期65-69,共5页Logistics Technology

基　　金：国家自然科学基金(71771126)。

摘　　要：2020年初爆发的全球性新冠疫情使各国的医疗系统面临严峻的挑战,针对我国在突发公共卫生事件中存在的医疗卫生资源匮乏、配置不合理等情况,提出了广义集中资源配置模型,用以解决统筹资源、合理调度的问题。从集中资源配置角度出发,运用数据包络分析方法对一组数据进行分析,用来模拟在新冠疫情下对有限的医疗卫生资源进行合理配置。所提出的广义集中资源配置模型使决策者能够设定投入产出目标,实现在资源利用效率提高及资源相对合理分配的前提下,总投入能够有所缩减。基于结果的客观分析,提出了资源配置的政策建议。The global outbreak of the COVID-19 Pandemic has put the medical system of various countries under extreme strain.In light of the weakness in public health emergency response in China such as lack and unreasonable allocation of medical and health resources,etc.,we proposed a generalized centralized resource allocation model for the overall planning and reasonable scheduling of the resources.From the perspective of centralized resource allocation,we used the data envelopment analysis method to analyze a set of data simulating the reasonable allocation of limited medical and health resources under the COVID 19 Pandemic.The proposed generalized centralized resource allocation model could enable decision makers to set input and output goals,and reduce total input while still improving utilization efficiency and relatively reasonable allocation of the resources.Based on the result,we put forward some policy-making recommendations concerning resource allocation.

关 键 词：数据包络分析 广义集中资源配置模型 应急医疗 医疗资源 资源配置 

分 类 号：F224.0[经济管理—国民经济] U16[交通运输工程]