Marshall Adele, Vasilakis Christos, El-Darzi Elia
Department of Applied Mathematics and Theoretical Physics, David Bates Building, Queen 's University of Belfast, Belfast Northern Ireland, UK.
Health Care Manag Sci. 2005 Aug;8(3):213-20. doi: 10.1007/s10729-005-2012-z.
Modelling patient flow in health care systems is vital in understanding the system activity and may therefore prove to be useful in improving their functionality. An extensively used measure is the average length of stay which, although easy to calculate and quantify, is not considered appropriate when the distribution is very long-tailed. In fact, simple deterministic models are generally considered inadequate because of the necessity for models to reflect the complex, variable, dynamic and multidimensional nature of the systems. This paper focuses on modelling length of stay and flow of patients. An overview of such modelling techniques is provided, with particular attention to their impact and suitability in managing a hospital service.
对医疗保健系统中的患者流进行建模对于理解系统活动至关重要,因此可能有助于改善其功能。一个广泛使用的指标是平均住院时间,尽管它易于计算和量化,但当分布为长尾分布时,它被认为是不合适的。事实上,简单的确定性模型通常被认为是不够的,因为模型需要反映系统复杂、多变、动态和多维的性质。本文重点关注住院时间和患者流的建模。提供了此类建模技术的概述,并特别关注它们在管理医院服务中的影响和适用性。