Health systems simulation

David Lyell, Rosemarie Sadsad, Andrew Georgiou

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Most problems arising from the operation of the health system are studied and addressed using conventional reductionist methods, which reduce, isolate, and freeze aspects of the system at a given time. This fails to deal with the dynamic complexity inherent in the health system and which is often the source of the problem. The result is that all too often, well intentioned interventions make the original problem worse by failing to fully understand the complexities involved in the origin of a problem (Sterman, 2000). In this article, we introduce system simulation as a means of exposing the underlying causes and systemic structures of problems within the health care system, as well as providing a tool for assessing the likely impact of new interventions. The following sections will examine the advantages of simulation, areas of application, how simulation experiments can overcome some of the limitations of randomised control trials (RCTs), and various simulation methodologies as well as the challenges of conducting simulation experiments.
Original languageEnglish
Title of host publicationEncyclopedia of healthcare information systems
EditorsNilmini Wickramasinghe, Eliezer Geisler
Place of PublicationHershey, PA, USA
PublisherIGI Global
Chapter82
Pages646-655
Number of pages10
ISBN (Electronic)9781599048901
ISBN (Print)1599048892, 9781599048895
DOIs
Publication statusPublished - 2008
Externally publishedYes

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