| Literature DB >> 22990085 |
Jonathan Karnon1, James Stahl2, Alan Brennan3, J Jaime Caro4, Javier Mar5, Jörgen Möller6.
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.Entities:
Mesh:
Year: 2012 PMID: 22990085 DOI: 10.1177/0272989X12455462
Source DB: PubMed Journal: Med Decis Making ISSN: 0272-989X Impact factor: 2.583