基于Gale-Shapley的医疗供应链资源双边匹配模型研究  

Research on Bilateral Matching of Medical Supply Chain Resources Based on Gale-Shapley

作　　者：路应金[1] 邓玉琴 王静[1] LU Yingjin;DENG Yuqin;WANG Jing(School of Management and Economics,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]电子科技大学经济与管理学院,四川成都611731

出　　处：《实验科学与技术》2019年第2期134-137,141,共5页Experiment Science and Technology

基　　金：国家自然科学基金资助项目(71372140);教育部人文社科专项任务项目(13JDGC002)

摘　　要：该文基于Gale-Shapley算法模型对医院分级诊疗体系中医生与病人双向选择进行最优资源配置,并以N医院Y专科为例,最终得到符合帕累托最优的稳定匹配。该文在医疗供应链资源供需匹配方面进行了深入研究,为医疗体系的顶层设计提供了参考价值,从而改变我国目前医疗供应链资源管理不合理的问题,促进医疗服务分级诊疗的实现。In this paper, based on the Gale-Shapley algorithm model, optimizes the allocation of resources between doctors and patients in hospital graded diagnosis and treatment system. Taking N hospital Y specialist as an example, the stable matching with Pareto optimal is obtained. In this paper, it conducts in-depth research on the supply and demand matching of medical supply chain resources, and provides reference value for the top-level design of medical system, thus changing the current unreasonable management of medical supply chain resources in China and promoting the realization of medical service grading diagnosis and treatment..

关 键 词：医疗供应链 双边匹配 Gale-Shapley模型 分级诊疗 

分 类 号：F274[经济管理—企业管理]