Article

Understanding accident and emergency department performance using simulation

Authors:

Murat M. Gunal,

Michael PiddAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 446 - 452

Published: 03 December 2006 Publication History

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Abstract

As part of a larger project examining the effect of performance targets on UK hospitals, we present a simulation of an Accident and Emergency (A&E) Department. Performance targets are an important part of the National Health Service (NHS) performance assessment regime in the UK. Pressures on A&Es force the medical staff to take actions meeting these targets with limited resources. We used simulation modelling to help understand the factors affecting this performance. We utilized real data from patient admission system of an A&E and presented some data analysis. Our particular focuses are the multitasking behaviour and experience level of medical staff, both of which affect A&E performance. This performance affects, in turn, the overall performance of the hospital of which it is part.

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Cited By

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Callaghan HJackson LDunnett STako AJohansson BJain S(2018)Developing a conceptual model for police custody in the UKProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320848(2781-2791)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320848
Kunc MHuschka TChick S(2016)System dynamicsProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042110(53-64)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042110
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
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Understanding accident and emergency department performance using simulation
1. Applied computing
  1. Life and medical sciences
  2. Operations research

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Published In

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

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Winter Simulation Conference

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Published: 03 December 2006

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WSC06

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IIE
ASA
IEICE ESS
IEEE-CS\DATC
SIGSIM
NIST
(SCS)
INFORMS-CS

WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

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WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;

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

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Callaghan HJackson LDunnett STako AJohansson BJain S(2018)Developing a conceptual model for police custody in the UKProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320848(2781-2791)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320848
Kunc MHuschka TChick S(2016)System dynamicsProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042110(53-64)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042110
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
Bhattacharjee PRay P(2014)Patient flow modelling and performance analysis of healthcare delivery processes in hospitalsComputers and Industrial Engineering10.1016/j.cie.2014.04.01678:C(299-312)Online publication date: 1-Dec-2014
https://dl.acm.org/doi/10.1016/j.cie.2014.04.016
Tan KLau HLee FHill RKuhl M(2013)Improving patient length-of-stay in emergency department through dynamic queue managementProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676277(2362-2373)Online publication date: 8-Dec-2013
https://dl.acm.org/doi/10.5555/2675983.2676277
Wang ZEatock JMcClean SLiu DLiu XYoung T(2013)Modeling Throughput of Emergency Departments via Time SeriesACM Transactions on Management Information Systems10.1145/25441054:4(1-16)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1145/2544105
Thorwarth MArisha ARose OUhrmacher A(2012)A simulation-based decision support system to model complex demand driven healthcare facilitiesProceedings of the Winter Simulation Conference10.5555/2429759.2429878(1-12)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2429878
Escudero-Marin PPidd M(2011)Using ABMS to simulate emergency departmentsProceedings of the Winter Simulation Conference10.5555/2431518.2431666(1239-1250)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431666
Virtue AKelly JChaussalet T(2011)Using simplified discrete-event simulation models for health care applicationsProceedings of the Winter Simulation Conference10.5555/2431518.2431655(1154-1165)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431655
Günal MPidd M(2011)DGHPSIM:ACM Transactions on Modeling and Computer Simulation10.1145/2000494.200049621:4(1-22)Online publication date: 2-Sep-2011
https://dl.acm.org/doi/10.1145/2000494.2000496
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Using simulation to help hospitals reduce emergency department waiting times: examples and impact

Evaluating alternative resource allocation in an emergency department using discrete event simulation

Emergency department resilience to disaster‐level overcrowding: A component resilience framework for analysis and predictive modeling

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