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A multi-faceted approach to optimising a complex unplanned healthcare system

机译:优化复杂的计划外医疗系统的多方面方法

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摘要

Unscheduled and urgent health care represents the largest area of activity and cost for the UK’s National Health Service (NHS). Like typical complex systems unplanned care has the features of interdependence and having structures at different scales which requires modelling at different levels. The aim of this paper is to discuss the development of a multifaceted approach to study and optimise this complex system. We aim to integrate four different methodologies to gain better understanding of the nature of the system and to develop ways to enhance its performance. These methodologies are: (a) Lean/ Flow theory to look at the process and patients and other flows; (b) Simulation/ System Dynamics to undertake analytical analysis and multi-level modelling; (c) stakeholder consultation and use of system thinking to analyse the system and identify options, barriers and good practice; and (d) visual analytic modelling to facilitate effective decision making in this complex environment. Of particular concern are the boundary issues i.e. how changes in unplanned care will impact on the adjacent facilities and ultimately on the whole Healthcare system.
机译:计划外和紧急的医疗保健是英国国家卫生服务(NHS)的最大活动领域和成本。像典型的复杂系统一样,计划外护理具有相互依存的特征,并且具有不同规模的结构,需要在不同的层次上进行建模。本文的目的是讨论研究和优化此复杂系统的多方面方法的发展。我们旨在整合四种不同的方法,以更好地了解系统的性质并开发增强其性能的方法。这些方法是:(a)精益/流程理论,以考察流程以及患者和其他流程; (b)模拟/系统动力学,以进行分析分析和多层次建模; (c)利益相关者的咨询和使用系统思维来分析系统并确定选择,障碍和良好做法; (d)视觉分析模型,以在这种复杂的环境中促进有效的决策。特别令人关注的是边界问题,即计划外护理的变化将如何影响邻近的设施,并最终影响整个医疗体系。

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