TY - JOUR
T1 - Modeling Using Discrete Event Simulation
T2 - A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force–4
AU - Karnon, Jonathan
AU - Stahl, James
AU - Brennan, Alan
AU - Caro, J. Jaime
AU - Mar, Javier
AU - Möller, Jörgen
PY - 2012/9/18
Y1 - 2012/9/18
N2 - 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.
AB - 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.
KW - discrete event simulation
KW - good practices
KW - individual simulation
KW - methods
KW - modeling
UR - http://www.scopus.com/inward/record.url?scp=84868128259&partnerID=8YFLogxK
U2 - 10.1177/0272989X12455462
DO - 10.1177/0272989X12455462
M3 - Article
C2 - 22990085
AN - SCOPUS:84868128259
SN - 0272-989X
VL - 32
SP - 701
EP - 711
JO - Medical Decision Making
JF - Medical Decision Making
IS - 5
ER -