School of Population Health and Clinical Practice, University of Adelaide, Adelaide, South Australia (JK)
MGH Institute for Technology Assessment and Harvard Medical School, Boston, Massachusetts (JS)
Med Decis Making. 2012 Sep-Oct;32(5):701-11. doi: 10.1177/0272989X12455462.
Discrete event simulation (DES) is a form of computer-based modeling that provides an intuitive and flexible approach to representing complex systems. It has been used in a wide range of health care applications. Most early applications involved analyses of systems with constrained resources, where the general aim was to improve the organization of delivered services. More recently, DES has increasingly been applied to evaluate specific technologies in the context of health technology assessment. The aim of this article is to provide consensus-based guidelines on the application of DES in a health care setting, covering the range of issues to which DES can be applied. The article works through the different stages of the modeling process: structural development, parameter estimation, model implementation, model analysis, and representation and reporting. For each stage, a brief description is provided, followed by consideration of issues that are of particular relevance to the application of DES in a health care setting. Each section contains a number of best practice recommendations that were iterated among the authors, as well as the wider modeling task force.
离散事件仿真(DES)是一种基于计算机的建模形式,它提供了一种直观灵活的方法来表示复杂系统。它已在广泛的医疗保健应用中使用。大多数早期的应用涉及资源受限的系统分析,其总体目标是改善提供服务的组织。最近,DES 越来越多地应用于在卫生技术评估的背景下评估特定技术。本文的目的是提供基于共识的在医疗保健环境中应用 DES 的指南,涵盖 DES 可应用的范围的问题。本文通过建模过程的不同阶段:结构开发、参数估计、模型实现、模型分析以及表示和报告。对于每个阶段,都提供了简要描述,然后考虑在医疗保健环境中应用 DES 特别相关的问题。每个部分都包含一些最佳实践建议,这些建议是在作者之间以及更广泛的建模工作组中反复提出的。