远程医疗服务的引入:是否需要报销?

IF 1.2 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY
Xiaoli Wang, Zhiyong Zhang, Jiahua Zhang
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引用次数: 0

摘要

在2019冠状病毒病全球大流行期间,将远程医疗服务引入卫生保健系统的速度迅速加快。本文通过对不提供远程医疗服务、提供有报销的远程医疗服务和提供无报销的远程医疗服务三种情况的比较,探讨了远程医疗服务的最优引入策略和报销策略。程式化队列模型用于描述离线和在线服务过程。到达的患者决定寻求线下服务、远程医疗服务,或者根据他们的预期效用而犹豫不决。通过建立数学模型和双寡头博弈模型,研究了公立医院和远程医疗企业在这三种情况下的最优服务能力和价格决策。我们的研究表明,引入无报销的远程医疗服务总是有利于增加患者的总效用和社会福利,而引入有报销的远程医疗服务在政府报销率较低时可能是有害的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The introduction of telemedicine service: With or without reimbursement?
The introduction of telemedicine service into the health care system has been rapidly accelerated during the global COVID-19 pandemic. This paper investigates the optimal introduction strategy and reimbursement policy of telemedicine service by comparing three cases, i.e., the case without telemedicine service, the case providing telemedicine service with reimbursement, and the case providing telemedicine service without reimbursement. Stylized queue models are used to depict the offline and online serving processes. Arriving patients decide to seek offline service, telemedicine service, or balk based on their expected utilities. Mathematical models and duopoly game models are built to study the optimal service capacity and price decisions of the public hospital and the telemedicine firm in those three cases. Our study shows that the introduction of telemedicine service without reimbursement can always be favorable in increasing patients' total utility and social welfare, while the introduction of telemedicine service with reimbursement can be harmful when the government reimbursement rate is low.
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来源期刊
CiteScore
2.50
自引率
15.40%
发文量
207
审稿时长
18 months
期刊介绍: JIMO is an international journal devoted to publishing peer-reviewed, high quality, original papers on the non-trivial interplay between numerical optimization methods and practically significant problems in industry or management so as to achieve superior design, planning and/or operation. Its objective is to promote collaboration between optimization specialists, industrial practitioners and management scientists so that important practical industrial and management problems can be addressed by the use of appropriate, recent advanced optimization techniques.
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