Supply-demand matching in a complex telemedicine environment considering intermediary intervention
Supply-demand matching in a complex telemedicine environment considering intermediary intervention
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DOI：
10.1016/j.cie.2022.108194
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发表时间：
2022-04
期刊：
影响因子：
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通讯作者：
Wei Lu;Zhan Meng;Yichuan Wang;Yu Wang;Yunkai Zhai
中科院分区：
文献类型：
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作者：
Wei Lu;Zhan Meng;Yichuan Wang;Yu Wang;Yunkai Zhai
为确保最有效地利用资源和提高患者对远程医疗的满意度，有必要将患者与医疗服务提供者相匹配。与传统的双边匹配模型不同，本研究涉及远程医疗的三方，患者，初级保健医生（PCP）作为中介和需求者的匹配，和城市专家。本文提出了一种新的方法来匹配这个复杂的远程医疗供需，将作为中介和需求者的双重角色的PCP。为了对匹配对象的复杂心理感知进行建模，将云模型匹配与前景理论相结合，优化了云模型偏好效用计算和失望理论计算匹配对象的失望值和期望值，得到了改进的偏好效用函数。此外，还利用同行效应和灰色关联分析来衡量PCP对患者的影响，并建立了多目标优化函数，使患者、PCP和专家的偏好效用值最大化，供需主体之间的差异最小化。所提出的匹配方法实现了最佳匹配和整体满意度的主题，沿着探索匹配如何有助于复杂的远程医疗环境。
Matching patients and providers of medical care is necessary to ensure the most efficient use of resources and improve patient satisfaction in telemedicine. Different from the conventional two-sided matching model, this study involves three parties in telemedicine, the patients, primary care physicians (PCPs) acting as both intermediaries and demanders of the match, and the urban specialists. This paper proposes a novel method for matching this complex telemedicine supply-demand, incorporating the dual roles of PCPs as intermediaries and demanders. In order to model the complex psychological perception of matching subjects, cloud-model-based matching is integrated with prospect theory, which optimizes cloud-model-based preference utility calculations as well as disappointment theory for calculating the disappointment value and elation value of matching subjects to obtain the modified preference utility function. In addition, the peer effect and grey relation analysis are used to measure the influence of PCPs on patients, and a multi-objective optimization function is developed to maximize the preference utility values of patients, PCPs, and specialists, and minimize the difference between supply and demand subjects. The proposed matching method achieves optimal matches and overall satisfaction of subjects, along with exploring how matching contributes to a complex telemedicine environment.