Virtue, Anthony and Chaussalet, Thierry J. and Kelly, John (2011) Using simplified discrete-event simulation models for real world health care applications. In: Jain, S. and Creasey, R.R. and Himmelspach, J. and White, K.P. and Fu, M., (eds.) Proceedings of the 2011 Winter Simulation Conference. WSC.
Full text not available from this repository.
Simulation modeling has been around for many years and produced many papers. Arguably, there has been a lack of impact in the health arena, some may say due to modeling such a large, complex, diverse and often interconnected industry. Other observations suggests that academics get rewarded for publish-ing large complicated models with detailed analysis rather than focusing on the requirements of the envi-ronment or the needs of implementation. This paper attempts to add to the modeling debate by suggesting that average simulation process times can act as estimators for real length of stay. This paper will also il-lustrate how average process time models could be used to help reconfigure emergency care services models. Average time simulation models have the potential to make a valuable contribution to modeling and they support simplified, transparent models with shortened development time.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||06 Oct 2011 16:38|
|Last Modified:||20 Aug 2012 16:08|
Repository Staff Only: item control page