Reducing time in an emergency room via a fast-track
WSC '95 Proceedings of the 27th conference on Winter simulation
Introduction to simulation in health care
WSC '96 Proceedings of the 28th conference on Winter simulation
A generalised simulation system to support strategic resource planning in healthcare
Proceedings of the 29th 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
Healthcare II: multi-objective simulation optimization for a cancer treatment center
Proceedings of the 33nd conference on Winter simulation
A survey of data resources for simulating patient flows in healthcare delivery systems
WSC '05 Proceedings of the 37th conference on Winter simulation
Modeling emergency departments using discrete event simulation techniques
WSC '05 Proceedings of the 37th conference on Winter simulation
Emergency departments nurse allocation to face a pandemic influenza outbreak
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Input modeling for hospital simulation models using electronic messages
Winter Simulation Conference
Resource management and process change in a simplified model of the emergency department
Winter Simulation Conference
Simulation with data scarcity: developing a simulation model of a hospital emergency department
Proceedings of the Winter Simulation Conference
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This work presents the results obtained after using a simulation model for estimating the maximum possible demand increment in an emergency room of a private hospital in Chile. To achieve this objective the first step was to create a simulation model of the system under study. This model was used to create a curve for predicting the behavior of the variable patient's time in system and estimate the maximum possible demand that the system can absorb. Finally, a design of experiments was conducted in order to define the minimum number of physical and human resources required to serve this demand.