Modeling Using Discrete Event Simulation

By PhD Jonathan Karnon, MD CM Mph James Stahl, PhD Alan Brennan, M. J. J. J. Jaime Caro, MD Javier Mar, Msc Jo¨rgen Mo¨ller, Andrew H. Briggs, U. Siebert, Karen M. Kuntz. Medical decision making, 2012

305 citations recorded by the source corpus.

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.

Subfields: Economics and Econometrics, Emergency Medical Services, General Health Professions

View Paper: https://www.semanticscholar.org/paper/579deac4a54992c788a6c50212f7a32d3e23e8d8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

David M. Eddy
U. Siebert
W. Hollingworth
K. Kuntz
J. Caro
O. Alagoz
J. Tsevat
Kathryn M. McDonald

Citations in the corpus

Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--1. (2012, unknown): “[1–6] relates to the application of modeling techniques to the area”
Model Transparency and Validation (2012, background): “Other articles in this series [1–6] describe best practices for conceptualizing models, building and applying particular types of models, and addressing uncertainty.”
State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--3. (2012, background): “Other articles in this series [1] [2] [3] [4] [5] [6] describe best practices for conceptualizing models, building and applying other types of models, and addressing uncertainty, transparency, and validations.”