Published Jul 2012
Karnon J, Stahl JE, Brennan A, et al. Modeling using discrete event simulation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-4. Value Health. 2012;15(5):821-827.
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
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.
Keywords: discrete event simulation, best practices, modeling, methods.
Copyright © 2017, International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc.
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- Modeling Good Research Practices - Overview: Report 1
- Conceptualizing a Model: Report 2
- State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3
- Dynamic Transmission Modeling: Report 5
- Model Parameter Estimation and Uncertainty Analysis: Report 6
- Model Transparency and Validation: Report 7