An introduction to simulation using GPSS/H
An introduction to simulation using GPSS/H
Barriers to implementing simulation in health care
WSC '94 Proceedings of the 26th conference on Winter simulation
Simulation should be easy and fun!
WSC '93 Proceedings of the 25th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Success stories in simulation in health care
Proceedings of the 29th conference on Winter simulation
Getting started in simulation in healthcare
Proceedings of the 30th conference on Winter simulation
The use of simulation for process improvement in a cancer treatment center
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Determination of operating room requirements using simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Dynamic simulation modeling of ICU bed availability
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Healthcare II: multi-objective simulation optimization for a cancer treatment center
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Journal of Medical Systems
Applicability of hybrid simulation to different modes of governance in UK healthcare
Proceedings of the 40th Conference on Winter Simulation
Implementation issues of modeling healthcare problems: misconceptions and lessons
Winter Simulation Conference
Potentials and challenges of healthcare modeling and simulation
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Tutorial on the simulation of healthcare systems
Proceedings of the Winter Simulation Conference
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The purpose of this article is to discuss some of the more challenging issues associated with conducting simulation in healthcare., The current healthcare environment is ripe for the use of simulation. The pressure to control costs is higher than ever, so, there is a critical need for powerful tools which can help clinicians and administrators (our clients) make good decisions on how to achieve objectives of reducing costs while maintaining high quality care. In addition, the highly stochastic nature of disease processes, as well as the complexity of subsystem interactions, makes simulation the decision-support tool of choice for analyzing the organization and delivery of healthcare services. However, for simulation to reach its potential as a major weapon in the fight against spiraling healthcare costs, pragmatic approaches to several challenging technical questions must be offered and discussed. Therefore, this article will present approaches to dealing with the following, frequently encountered tactical issues in simulating healthcare services--degree of model complexity, definitions of input distributions, model validation, and interpretation of findings. The last issue to be discussed is less of a technical concern, and instead addresses the promotion of simulation in healthcare.