Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/95910
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Type: Journal article
Title: Modeling using discrete event simulation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-4
Author: Karnon, J.
Stahl, J.
Brennan, A.
Caro, J.
Mar, J.
Möller, J.
Citation: Medical Decision Making, 2012; 32(5):701-711
Publisher: SAGE Publications
Issue Date: 2012
ISSN: 0272-989X
1552-681X
Statement of
Responsibility: 
Jonathan Karnon, James Stahl, Alan Brennan, J. Jaime Caro, Jörgen Möller
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.
Keywords: modeling; methods; discrete event simulation; individual simulation; good practices
Rights: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
RMID: 0030022771
DOI: 10.1177/0272989X12455462
Appears in Collections:Public Health publications

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