混合决策下考虑第三方偏好的远程医疗服务匹配方法

为优化远程医疗的服务匹配、合理配置医疗资源以及满足不同主体的个性化需求,针对基层医生干预下的远程医疗服务匹配问题提出一种在混合决策背景下考虑第三方偏好的远程医疗服务匹配方法.首先,对研究问题进行描述,定义匹配方案;其次,考虑决策者偏好信息的不确定性和模糊性,根据不同形式的评价信息计算评价信息与期望信息之间的差异度;再次,在基层医生偏好的基础上得到供、需方满意度矩阵,进而考虑匹配方案的理性、稳定和满意匹配约束建立一个多目标优化模型,以供、需双方满意度最大化以及专家、患者差异度最小化为目标得到最优匹配对;最后,通过算例分析证实所提出方法的可行性,为远程医疗的多主体有效合作提供一个新的优化方向.

Matching method for telemedicine service considering third-party preferences in context of mixed decision-making

To optimize the service matching, rationally allocate medical resources and meet the personalized needs of different subjects in telemedicine, this paper proposes a telemedicine service matching method that considers the third-party preferences in the context of mixed decision-making, aiming at the problem of telemedicine service matching under the intervention of regional doctors. Firstly, the research problem is described and matching schemes are defined. Secondly, considering the uncertainty and fuzziness of decision makers'' preference information, the degree of difference between evaluation and expectation information is calculated according to different forms of evaluation information. Moreover, two-sided satisfaction matrices are obtained based on the preference of regional doctors. After that, considering the rational, stable and satisfactory matching constraints of the matching scheme, a multi-objective optimization model is established to maximize the satisfaction of the supplier and the demander, and to minimize the difference between experts and patients. Finally, the feasibility of this method is demonstrated by an illustrative example, which provides a new optimization direction for the effective multi-agent cooperation in telemedicine.