Public Hospital's Decision Analysis on Providing E-Visit Services

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Na Li;Fanghao Yuan;Yan Li;Wenwen Lv
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Abstract

E-visits have emerged as a pivotal tool for enhancing both patients' medical experience and the efficient utilization of medical resources. By modeling stylized queueing models, this letter explores the optimal online medical resource allocation decision on providing e-visits in a public hospital, and examines the impact of the external Internet hospital on the public hospital's decision. The public hospital aims to maximize its utility by determining the optimal online medical resource allocation, while patients make their visit decisions based on utility. Results indicate that increased sensitivity of the revisit rate to resource allocation, or higher unit gain associated with e-visit patients (achieved from providing convenient access to medical services and minimizing cross-infection risks), prompts the public hospital to allocate more resources to e-visits. Notably, external Internet hospital price and capacity do not alter the basic influence patterns of the decision, but the resource allocation proportion increases with the external e-visit service price. Moreover, as the external e-visit service capacity expands, the optimal resource allocation proportion decreases when the sensitivity of the revisit rate is low (which indicates the quality is influenced slightly by resource allocation), and exhibits an initial decrease followed by an increase when the sensitivity is high.
公立医院提供电子门诊服务的决策分析
电子门诊已成为改善患者就医体验和提高医疗资源利用效率的重要工具。本文通过建立风格化的排队模型,探讨了公立医院提供电子门诊的最优在线医疗资源配置决策,并研究了外部互联网医院对公立医院决策的影响。公立医院的目标是通过确定最优在线医疗资源分配来实现其效用最大化,而患者则根据效用做出就诊决策。结果表明,复诊率对资源分配的敏感度增加,或电子就诊患者的单位收益增加(通过提供便捷的医疗服务和最大限度地降低交叉感染风险实现),都会促使公立医院为电子就诊分配更多资源。值得注意的是,外部互联网医院的价格和能力并不改变决策的基本影响模式,但资源分配比例会随着外部电子就诊服务价格的提高而增加。此外,随着外部电子就诊服务能力的扩大,当复诊率的敏感度较低时(表明质量受资源分配的影响较小),最优资源分配比例会降低;当敏感度较高时,最优资源分配比例会先降低后提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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