运筹与管理 ›› 2019, Vol. 28 ›› Issue (4): 17-25.DOI: 10.12005/orms.2019.0075

• 理论分析与方法探讨 • 上一篇    下一篇

考虑患者个性化需求的医疗服务匹配决策方法

高宇璇,杜跃平,孙秉珍,王锐   

  1. 西安电子科技大学 经济与管理学院,陕西 西安 710071
  • 收稿日期:2017-03-20 出版日期:2019-04-25
  • 作者简介:高宇璇(1984-),女,陕西西安人,工程师,博士研究生,研究方向:知识管理,医疗管理,商业模式;杜跃平(1958-),男,四川邛崃人,教授,博士生导师,研究方向:创新管理。
  • 基金资助:
    国家自然科学基金资助项目(71401131,71571090,71601133);陕西省软科学基金课题(2017KRM192,2017KRM005);陕西省自然科学基础研究计划(2016JM7002)

Matching Method for Medical Service Considering the Personalized Demand of Patients

GAO Yu-xuan, DU Yue-ping, SUN Bing-zhen, WANG Rui   

  1. School of Economics and Management, Xidian University, Xi’an 710071, China
  • Received:2017-03-20 Online:2019-04-25

摘要: 伴随着我国医疗服务事业的蓬勃发展,提升互联网医疗健康平台中医生和患者双方匹配的效率已经成为医疗服务领域中重要的问题之一。为此,本文针对考虑患者个性化需求的医疗服务匹配决策问题,提出了一种决策分析方法。首先,给出稳定和满意匹配方案的相关定义;在此基础上,根据患者个性化的需求类型,计算患者对医生的满意度;然后,根据医生提出的期望和患者的实际评价信息,计算医生对患者的满意度。进一步地,构建兼具满意且稳定的目标导向的匹配决策模型,通过运用求解模型的变步长算法,获得相应的最优匹配方案;最后,通过实例分析表明了所提出方法的可行性。

关键词: 互联网医疗健康平台, 医疗服务匹配, 患者个性化需求, 匹配方案

Abstract: With the rapid development of medical service career in China, how to promote the matching efficiency between doctors and patients in the internet health platform has become one of the most important issues in medical service. Aimed at the two-sided matching decision making problem considering the personalized demand of patients, a novel decision-making method is proposed in this paper. First, several definitions for the stability and satisfaction regarding the matching alternative are given. On the basis, the satisfaction degrees of patients to doctors are subsequently calculated according to the personalized demand of patients. Then, the satisfaction degrees of doctors to patients are calculated according to the expectations of the doctors with the actual evaluations of the patients. Furthermore, a two-sided decision-making matching model regarding the maximum objectives of satisfied, stable and familiar is built. By using proposed changeable step algorithm, the optimal matching alternative can be determined. Finally, an example is given to demonstrate the efficiency and feasibility of proposed method.

Key words: internet health platform, medical service matching, personalized demand of patients, matching alternative

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