Modeling using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-4
Modeling using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-4
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DOI：
10.1016/j.jval.2012.04.013
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发表时间：
2012-09-01
期刊：
影响因子：
4.5
通讯作者：
Moller, Jorgen
中科院分区：
文献类型：
--
作者：
Karnon, Jonathan;Stahl, James;Moller, Jorgen
离散事件仿真（DES）是一种基于计算机的建模形式，它提供了一种直观和灵活的方法来表示复杂系统。它已被广泛应用于医疗保健领域。大多数早期的应用程序都涉及对资源有限的系统进行分析，其总体目标是改进所提供服务的组织。最近，DES已越来越多地应用于在卫生技术评估的背景下评估特定的技术。本文的目的是提供关于DES在医疗保健环境中应用的基于共识的指南，涵盖DES可以应用的一系列问题。本文介绍了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，提供了一个简短的描述，然后考虑的问题，特别是相关的DES在医疗保健环境中的应用。每一部分都包含了许多最佳实践建议，这些建议在作者之间以及更广泛的建模工作组之间反复进行。
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 was 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 among the wider modeling task force.