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How to juggle priorities? An interactive tool to provide quantitative support for strategic patient-mix decisions: an ophthalmology case

机译:如何兼顾优先事项?一种交互式工具,为战略性患者组合决策提供量化支持:眼科病例

摘要

An interactive tool was developed for the ophthalmology department of the Academic Medical Center to quantitatively support management with strategic patient-mix decisions. The tool enables management to alter the number of patients in various patient groups and to see the consequences in terms of key performance indicators. In our case study, we focused on the bottleneck: the operating room. First, we performed a literature review to identify all factors that influence an operating room's utilization rate. Next, we decided which factors were relevant to our study. For these relevant factors, two quantitative methods were applied to quantify the impact of an individual factor: regression analysis and computer simulation. Finally, the average duration of an operation, the number of cancellations due to overrun of previous surgeries, and the waiting time target for elective patients all turned out to have significant impact. Accordingly, for the case study, the interactive tool was shown to offer management quantitative decision support to act proactively to expected alterations in patient-mix. Hence,management can anticipate the future situation, and either alter the expected patient-mix or expand capacity to ensure that the key performance indicators will be met in the future.
机译:为学术医学中心眼科开发了一种交互式工具,以通过战略性患者混合决策来定量支持管理。该工具使管理层能够更改各个患者组中的患者人数,并根据关键绩效指标查看后果。在我们的案例研究中,我们专注于瓶颈:手术室。首先,我们进行了文献综述,以找出影响手术室利用率的所有因素。接下来,我们确定哪些因素与我们的研究相关。对于这些相关因素,应用了两种定量方法来量化单个因素的影响:回归分析和计算机模拟。最后,事实证明,平均手术时间,因先前手术超支而导致的取消数量以及择期患者的等待时间目标均具有重大影响。因此,对于案例研究,交互式工具显示出可以提供管理定量决策支持,以主动应对患者混合中的预期变化。因此,管理人员可以预测未来的情况,并且可以更改预期的患者组合或扩展能力,以确保将来能够满足关键绩效指标。

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