Article

Emergency departments I: the use of simulation and design of experiments for estimating maximum capacity in an emergency room

Authors:

Felipe F. Baesler,

Hector E. Jahnsen,

Mahal DaCostaAuthors Info & Claims

WSC '03: Proceedings of the 35th conference on Winter simulation: driving innovation

Pages 1903 - 1906

Published: 07 December 2003 Publication History

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Abstract

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.

References

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[2]

Baesler, F., Sepúlveda, J., (2001) "Multi-Objective Simulation Optimization for a Cancer Treatment Center" in Proceedings of Winter Simulation Conference 2001, Virginia, USA. B. A. Peters, J. S. Smith, D. J. Medeiros, and M. W. Rohrer, (eds.) 1405--1411.

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Garcia, M. L., Centeno M. A., Rivera, C., DeCario N. (1995), Reducing Time in an Emergency Room Via a Fast-Track, in Proceedings of the 1995 Winter Simulation Conference, Alexopoulus, Kang, Lilegdon & Goldman (eds.), 1048--1053.

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Lowery, J. C. (1996), Introduction to Simulation in Health Care, in Proceedings of the 1996 Winter Simulation Conference, J. M. Charnes, D. J. Morrice, D. T. Brunner, and J. J. Swain (eds), 78--84.

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Sepúlveda, J. A.,., Thompson, W., Baesler, F., Alvarez, M. (1999), "The Use of Simulation for Process Improvement in a Cancer Treatment Center", Proceedings of the 1999 Winter Simulation Conference, Phoenix, Arizona, USA, 1551--1548.

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Cited By

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Gul MGuneri A(2015)A comprehensive review of emergency department simulation applications for normal and disaster conditionsComputers and Industrial Engineering10.1016/j.cie.2015.02.01883:C(327-344)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1016/j.cie.2015.02.018
Kuo YLeung JGraham CRose OUhrmacher A(2012)Simulation with data scarcityProceedings of the Winter Simulation Conference10.5555/2429759.2429874(1-12)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2429874
Tsai CWeng SHuang CYang CLi JTsai KMcGraw RImsand EChinni M(2010)The impact of different decision behavior models of emergency physicians on the performance of emergency departmentsProceedings of the 2010 Spring Simulation Multiconference10.1145/1878537.1878614(1-6)Online publication date: 11-Apr-2010
https://dl.acm.org/doi/10.1145/1878537.1878614
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Emergency departments I: the use of simulation and design of experiments for estimating maximum capacity in an emergency room
1. Applied computing
  1. Life and medical sciences
  2. Operations research

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Published In

WSC '03: Proceedings of the 35th conference on Winter simulation: driving innovation

December 2003

2094 pages

ISBN:0780381327

General Chair:
David Ferrin
Naperville, IL
,
Program Chair:
Douglas J. Morrice
The University of Texas at Austin, Austin, TX

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Winter Simulation Conference

Publication History

Published: 07 December 2003

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IEEE/SMCS

WSC03: Winter Simulation Conference 2003

December 7 - 10, 2003

Louisiana, New Orleans

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WSC '03 Paper Acceptance Rate 128 of 189 submissions, 68%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

View all

Gul MGuneri A(2015)A comprehensive review of emergency department simulation applications for normal and disaster conditionsComputers and Industrial Engineering10.1016/j.cie.2015.02.01883:C(327-344)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1016/j.cie.2015.02.018
Kuo YLeung JGraham CRose OUhrmacher A(2012)Simulation with data scarcityProceedings of the Winter Simulation Conference10.5555/2429759.2429874(1-12)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2429874
Tsai CWeng SHuang CYang CLi JTsai KMcGraw RImsand EChinni M(2010)The impact of different decision behavior models of emergency physicians on the performance of emergency departmentsProceedings of the 2010 Spring Simulation Multiconference10.1145/1878537.1878614(1-6)Online publication date: 11-Apr-2010
https://dl.acm.org/doi/10.1145/1878537.1878614
Beck EBalasubramanian HHenneman PDunkin AIngalls R(2009)Resource management and process change in a simplified model of the emergency departmentWinter Simulation Conference10.5555/1995456.1995717(1887-1895)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995717
Konrad RLawley MDunkin AIngalls R(2009)Input modeling for hospital simulation models using electronic messagesWinter Simulation Conference10.5555/1995456.1995480(134-147)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995480
Rico FSalari ECenteno GTew J(2007)Emergency departments nurse allocation to face a pandemic influenza outbreakProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351768(1292-1298)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351768
Komashie AMousavi A(2005)Modeling emergency departments using discrete event simulation techniquesProceedings of the 37th conference on Winter simulation10.5555/1162708.1163203(2681-2685)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1163203
White K(2005)A survey of data resources for simulating patient flows in healthcare delivery systemsProceedings of the 37th conference on Winter simulation10.5555/1162708.1162869(926-935)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1162869

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