Capacity decisions and revenue sharing in a telemedicine healthcare system

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Liangliang Sun, Miao Yu, Fenghao Wang
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引用次数: 0

Abstract

This paper studies the operations of a telemedicine service system consisting of independent hospitals [general hospital (GH) and telemedicine firm (TF)]. Through the healthcare alliance, the GH and the TF collaborate in capacity decisions and revenue sharing, and establish a green channel to refer patients. We adopt a two-stage game model to study a revenue sharing scheme of the telemedicine healthcare alliance. In the first-stage the game, the GH and the TF negotiate a revenue-sharing ratio to distribute the revenue of the referred patients. In the second stage game, given the profit-sharing ratio, GH makes capacity allocation decisions, and TF determines its own price to maximize its own revenue. Results show that the revenue sharing scheme can increase profits and promote collaboration between GH and TF. When a large number of mild patients arrive at the GH, the GH tends to participate in the alliance. For the TF, high prices do not always yield high profit under the comprehensive influence of the alliance.

Abstract Image

远程医疗保健系统中的容量决策和收入共享
本文研究了由独立医院[综合医院(GH)和远程医疗公司(TF)]组成的远程医疗服务系统的运作。通过医疗联盟,总医院和总医院在能力决策和收入分享方面进行合作,并建立了转诊患者的绿色渠道。本文采用两阶段博弈模型研究了远程医疗联盟的收益共享方案。在博弈的第一阶段,医院总医院和医院工作队协商一个收入分成比例来分配转诊病人的收入。在第二阶段博弈中,在利润分成比例给定的情况下,GH进行容量分配决策,TF决定自己的价格,使自己的收益最大化。结果表明,收益共享方案能够提高GH和TF之间的利润并促进其合作。当大量轻症患者到达总医院时,总医院倾向于参与联盟。对于TF来说,在联盟的综合影响下,高价格并不一定能带来高利润。
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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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