差异化需求下考虑患者预约行为的医疗服务供需匹配方法
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摘要
如何根据患者的差异化需求,撮合医生与患者双方形成合理有效的医疗服务供需匹配,是医疗服务运作管理中重要的研究问题。本文针对医疗服务中医生与患者的实际需求,提出了一种考虑患者预约行为的匹配决策方法。在该方法中,首先依据患者的预约行为及特征分类;然后,通过计算不同情形下医患双方的差异度,获得了医患双方的满意度矩阵;在此基础上,提出了匹配预约患者与医生的E-HR算法,并进一步构建了匹配剩余患者和医生的多目标优化模型,通过模型求解得到最优匹配结果;最后,通过算例说明了本文提出方法的可行性和实用性。
How to match patients with doctors based on the diversified demand of patients in a reasonable and efficiency way is a significant research problem in healthcare service operation management. For the actual demand between patients and doctors,a method considering the patients' behaviors of appointment is proposed.Firstly,patients are classified based on their appointment behaviors and characteristics. Then,by calculating the deviation degrees between patients and doctors,the satisfaction matrix of patients and doctors is obtained. On this basis,an extended HR algorithm which gives the priority to match patients with an appointment and doctors is proposed. Furthermore,a multi-objective optimization model for matching remaining patients and doctors is built. By solving the model,the optimal matching results can be obtained. Finally,an example is given to show the feasibility and practicability of the proposed method.
How to match patients with doctors based on the diversified demand of patients in a reasonable and efficiency way is a significant research problem in healthcare service operation management. For the actual demand between patients and doctors,a method considering the patients' behaviors of appointment is proposed.Firstly,patients are classified based on their appointment behaviors and characteristics. Then,by calculating the deviation degrees between patients and doctors,the satisfaction matrix of patients and doctors is obtained. On this basis,an extended HR algorithm which gives the priority to match patients with an appointment and doctors is proposed. Furthermore,a multi-objective optimization model for matching remaining patients and doctors is built. By solving the model,the optimal matching results can be obtained. Finally,an example is given to show the feasibility and practicability of the proposed method.
引文
[1] 2016年各国医疗体系评估. hao123新闻.[2016-11-25].http://www. hao123. com/mid? from=tuijian&key=p Zw YTj CEQLw EIgw Gmyt8mvqVQvDvn1nLPH0vnWDvn1n4P1D3Pj0zQs.
[2] Gale D,Shapley College L. Admissions and the stability of marriage[J]. American Mathematical Monthly,1962,69(1):9-15.
[3] Roth A E. Common and conflicting interests in two-sided matching markets[J]. European Economic Review,1985,27(1):75-96.
[4] Teo C P,Tan W P. Gale-shapley stable marriage problem revisited:strategic issues and applications[J]. Management Science,2000,47(9):1252-1267.
[5]樊治平,乐琦.基于完全偏好序信息的严格双边匹配方法[J].管理科学学报,2014,17(1):21-34.
[6] Korkmaz I,Gken H,etinyoku爧T. An analytic hierarchy process and two-sided matching based decision support system for military personnel assignment[J].Information Sciences,2008,178(14):2915-2927.
[7]陈希,韩菁,张晓.考虑心理期望与感知的多属性匹配决策方法[J].控制与决策,2014,29(11):2027-2033.
[8]梁海明,姜艳萍.二手房组合交易匹配决策方法[J].系统工程理论与实践,2015,35(2):358-367.
[9]孔德财,姜艳萍.考虑同群效应的双边匹配决策方法[J].运筹与管理,2016,25(4):5-11.
[10]李铭洋,樊治平,乐琦.考虑稳定匹配条件的一对多双边匹配决策方法[J].系统工程学报,2013,28(4):454-463.
[11]乐琦.考虑匹配意愿的直觉模糊双边匹配决策[J].运筹与管理,2017,26(6):24-28.
[12] Roth A E. On the allocation of residents to rural hospitals:a general property of two-sided matching markets[J]. Econometrica,1986,54(2):425-427.
[13] Saaty T L,Vargas L G. Diagnosis with dependent symptoms:bayes theorem and the analytic hierarchy process[J]. Operations Research,1998,46(4):491-502.
[14] Roth A E,nver M U. Efficient kidney exchange:coincidence of wants in markets with compatibility-based preferences[J]. Scholarly Articles,2007,97(3):828-851.
[15] Godager G. Birds of a feather flock together:a study of doctor-patient matching[J]. Journal of Health Economics,2012,31(1):296-305.
[16] Mohammadian M,Jentzsch R. Intelligent agent framework for secure patient-doctor profiling and profile matching[J]. International Journal of Healthcare Information Systems&Informatics,2008,3(3):38-57.
[17] Suner A,eliˇkoglu C C,Dicle O,Skmen,S. Sequential decision tree using the analytic hierarchy process for decision support in rectal cancer[J]. Artificial Intelligence in Medicine,2012,56(1):59-68.
[18] Kahraman C,Süder A,Kayahsan. Fuzzy multicriteria evaluation of health research investments[J]. Technological&Economic Development of Economy,2014,20(2):210-226.
[19] Yuen K K F. The primitive cognitive network process in healthcare and medical decision making:comparisons with the analytic hierarchy process[J]. Applied Soft Computing,2014,14(1):109-119.
[20] Yoon K P,Hwang C L. Multiple attribute decision making:an introduction[J]. Lecture Notes in Economics&Mathematical Systems,1995,375(4):1-531.
[21] Cohon J L. Multiobjective programming and planning[M]. New York:Academic Press,1978.
[22] Hannan E L. Linear programming with multiple fuzzy goals[J]. Fuzzy Sets&Systems, 1981, 6(3):235-248.
[2] Gale D,Shapley College L. Admissions and the stability of marriage[J]. American Mathematical Monthly,1962,69(1):9-15.
[3] Roth A E. Common and conflicting interests in two-sided matching markets[J]. European Economic Review,1985,27(1):75-96.
[4] Teo C P,Tan W P. Gale-shapley stable marriage problem revisited:strategic issues and applications[J]. Management Science,2000,47(9):1252-1267.
[5]樊治平,乐琦.基于完全偏好序信息的严格双边匹配方法[J].管理科学学报,2014,17(1):21-34.
[6] Korkmaz I,Gken H,etinyoku爧T. An analytic hierarchy process and two-sided matching based decision support system for military personnel assignment[J].Information Sciences,2008,178(14):2915-2927.
[7]陈希,韩菁,张晓.考虑心理期望与感知的多属性匹配决策方法[J].控制与决策,2014,29(11):2027-2033.
[8]梁海明,姜艳萍.二手房组合交易匹配决策方法[J].系统工程理论与实践,2015,35(2):358-367.
[9]孔德财,姜艳萍.考虑同群效应的双边匹配决策方法[J].运筹与管理,2016,25(4):5-11.
[10]李铭洋,樊治平,乐琦.考虑稳定匹配条件的一对多双边匹配决策方法[J].系统工程学报,2013,28(4):454-463.
[11]乐琦.考虑匹配意愿的直觉模糊双边匹配决策[J].运筹与管理,2017,26(6):24-28.
[12] Roth A E. On the allocation of residents to rural hospitals:a general property of two-sided matching markets[J]. Econometrica,1986,54(2):425-427.
[13] Saaty T L,Vargas L G. Diagnosis with dependent symptoms:bayes theorem and the analytic hierarchy process[J]. Operations Research,1998,46(4):491-502.
[14] Roth A E,nver M U. Efficient kidney exchange:coincidence of wants in markets with compatibility-based preferences[J]. Scholarly Articles,2007,97(3):828-851.
[15] Godager G. Birds of a feather flock together:a study of doctor-patient matching[J]. Journal of Health Economics,2012,31(1):296-305.
[16] Mohammadian M,Jentzsch R. Intelligent agent framework for secure patient-doctor profiling and profile matching[J]. International Journal of Healthcare Information Systems&Informatics,2008,3(3):38-57.
[17] Suner A,eliˇkoglu C C,Dicle O,Skmen,S. Sequential decision tree using the analytic hierarchy process for decision support in rectal cancer[J]. Artificial Intelligence in Medicine,2012,56(1):59-68.
[18] Kahraman C,Süder A,Kayahsan. Fuzzy multicriteria evaluation of health research investments[J]. Technological&Economic Development of Economy,2014,20(2):210-226.
[19] Yuen K K F. The primitive cognitive network process in healthcare and medical decision making:comparisons with the analytic hierarchy process[J]. Applied Soft Computing,2014,14(1):109-119.
[20] Yoon K P,Hwang C L. Multiple attribute decision making:an introduction[J]. Lecture Notes in Economics&Mathematical Systems,1995,375(4):1-531.
[21] Cohon J L. Multiobjective programming and planning[M]. New York:Academic Press,1978.
[22] Hannan E L. Linear programming with multiple fuzzy goals[J]. Fuzzy Sets&Systems, 1981, 6(3):235-248.