Modeling Using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–4

Jonathan Karnon, James Stahl, Alan Brennan, J. Jaime Caro, Javier Mar, Jörgen Möller

Research output: Contribution to journalArticle

110 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)701-711
Number of pages11
JournalMedical Decision Making
Volume32
Issue number5
DOIs
Publication statusPublished - 18 Sep 2012
Externally publishedYes

Keywords

  • discrete event simulation
  • good practices
  • individual simulation
  • methods
  • modeling

Fingerprint Dive into the research topics of 'Modeling Using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–4'. Together they form a unique fingerprint.

  • Cite this