Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Emergency departments II: simulating Six Sigma improvement ideas for a hospital emergency department
Proceedings of the 35th conference on Winter simulation: driving innovation
Emergency departments II: a simulation-ilp based tool for scheduling ER staff
Proceedings of the 35th conference on Winter simulation: driving innovation
Functional analysis for operating emergency department of a general hospital
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation-based verification of Lean improvement for emergency room process
Proceedings of the 40th Conference on Winter Simulation
A generic framework for real-time discrete event simulation (DES) modelling
Proceedings of the 40th Conference on Winter Simulation
DGHPSIM:: Generic simulation of hospital performance
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation with data scarcity: developing a simulation model of a hospital emergency department
Proceedings of the Winter Simulation Conference
Improving the emergency department performance using simulation and mcdm methods
Proceedings of the Winter Simulation Conference
Using simulation and data envelopment analysis in optimal healthcare efficiency allocations
Proceedings of the Winter Simulation Conference
Assessing the impact of stochasticity for operating theater sizing
Decision Support Systems
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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This paper discusses the application of Discrete Event Simulation (DES) for modeling the operations of an Emergency Department (ED). The model was developed to help the ED managers understand the behavior of the system with regard to the hidden causes of excessive waiting times. It served as a tool for assessing the impact of major departmental resources on Key Performance Indicators, and was also used as a cost effective method for testing various what-if scenarios for possible system improvement. The study greatly enhanced managers' understanding of the system and how patient flow is influenced by process changes and resource availability. The results of this work also helped managers to either reverse or modify some proposed changes to the system that were previously being considered. The results also show a possible reduction of more than 20% in patients' waiting times.