On simulation model complexity
Proceedings of the 32nd conference on Winter simulation
Simulation modelling for performance measurement in healthcare
WSC '05 Proceedings of the 37th conference on Winter simulation
Understanding accident and emergency department performance using simulation
Proceedings of the 38th conference on Winter simulation
Conceptual modeling for simulation: issues and research requirements
Proceedings of the 38th conference on Winter simulation
Choosing the best model: Level of detail, complexity, and model performance
Mathematical and Computer Modelling: An International Journal
DGHPSim: supporting smart thinking to improve hospital performance
Proceedings of the 40th Conference on Winter Simulation
Agent based simulation output analysis
Proceedings of the Winter Simulation Conference
Data-driven simulation of complex multidimensional time series
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on simulation in complex service systems
| Hi-index | 0.00 |
National Health Service (NHS) performance targets in England have put pressure on hospital management to reduce waiting times. The stochastic nature of emergency patient arrivals creates problems for capacity planning for elective patients. We present a whole hospital model which can be used at policy level to investigate cause and effect relations, such as effects of increased emergency arrival volumes on elective waiting times. A typical general hospital can be abstracted in three main units; Accident and Emergency (A&E) department, outpatient clinics, and inpatient units. In real life these units are coupled and share hospital resources. We developed three discrete event simulation (DES) models for each unit to form a whole hospital DES model. We present our models conceptually and our main discussion is on the level of detail in these three models.