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Reducing Wait Times through Operations Research: Optimizing the Use of Surge Capacity

机译:通过运筹学减少等待时间:优化喘振能力的使用

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摘要

Widespread public demand for improved access, political pressure for shorter wait times, a stretched workforce, an aging population and overutilized equipment and facilities challenge healthcare leaders to adopt new management approaches. This paper highlights the significant benefits that can be achieved by applying operations research (OR) methods to healthcare management. It shows how queuing theory provides managers with insights into the causes for excessive wait times and the relationship between wait times and capacity. It provides a case study of the use of several OR methods, including Markov decision processes, linear programming and simulation, to optimize the scheduling of patients with multiple priorities. The study shows that by applying this approach, wait time targets can be attained with the judicious use of surge capacity in the form of overtime. It concludes with some policy insights.
机译:公众对改善交通条件的广泛需求,缩短等待时间的政治压力,劳动力紧张,人口老龄化以及设备和设施的过度使用,都给医疗保健领导者提出了采用新管理方法的挑战。本文重点介绍了通过将运筹学(OR)方法应用于医疗保健管理可以实现的重大利益。它显示了排队理论如何为管理人员提供有关过多等待时间的原因以及等待时间与容量之间的关系的见解。它提供了使用多种OR方法(包括Markov决策过程,线性规划和模拟)以优化具有多个优先级的患者调度的案例研究。研究表明,通过采用这种方法,可以明智地利用加班能力以加班的形式实现等待时间目标。最后总结了一些政策见解。

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