Bekker René, Koole Ger, Roubos Dennis
Department of Mathematics, VU University Amsterdam, De Boelelaan 1081a, 1081, HV, Amsterdam, The Netherlands.
HOTflo Company, Schoutlaan 26, 6002, EA, Weert, The Netherlands.
Health Care Manag Sci. 2017 Dec;20(4):453-466. doi: 10.1007/s10729-016-9364-4. Epub 2016 Apr 8.
Flexibility in the usage of clinical beds is considered to be a key element to efficiently organize critical capacity. However, full flexibility can have some major drawbacks as large systems are more difficult to manage, lack effective care delivery due to absence of focus and require multi-skilled medical teams. In this paper, we identify practical guidelines on how beds should be allocated to provide both flexibility and utilize specialization. Specifically, small scale systems can often benefit from full flexibility. Threshold type of control is then effective to prioritize patient types and to cope with patients having diverse lengths of stay. For large scale systems, we assert that a little flexibility is generally sufficient to take advantage of most of the economies of scale. Bed reservation (earmarking) or, equivalently, organizing a shared ward of overflow, then performs well. The theoretical models and guidelines are illustrated with numerical examples. Moreover, we address a key question stemming from practice: how to distribute a fixed number of hospital beds over the different units?
临床床位使用的灵活性被认为是有效组织关键容量的关键要素。然而,完全的灵活性可能存在一些主要缺点,因为大型系统更难管理,由于缺乏重点而缺乏有效的护理服务,并且需要多技能的医疗团队。在本文中,我们确定了关于床位应如何分配以提供灵活性并利用专业化的实用指南。具体而言,小规模系统通常可以从完全灵活性中受益。阈值类型的控制对于优先考虑患者类型和应对住院时间不同的患者是有效的。对于大规模系统,我们认为一点灵活性通常足以利用大部分规模经济。床位预留(指定用途)或等效地组织一个共享的溢出病房,然后效果良好。理论模型和指南通过数值示例进行说明。此外,我们解决了一个源于实践的关键问题:如何在不同科室分配固定数量的医院床位?