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A Decision Support System For Demand And Capacity Modelling Of An Accident And Emergency Department

Muhammed Ordu, Eren Demir, Chris Tofallis
Published 2020 · Business, Medicine
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ABSTRACT Accident and emergency (A&E) departments in England have been struggling against severe capacity constraints. In addition, A&E demands have been increasing year on year. In this study, our aim was to develop a decision support system combining discrete event simulation and comparative forecasting techniques for the better management of the Princess Alexandra Hospital in England. We used the national hospital episodes statistics data-set including period April, 2009 – January, 2013. Two demand conditions are considered: the expected demand condition is based on A&E demands estimated by comparing forecasting methods, and the unexpected demand is based on the closure of a nearby A&E department due to budgeting constraints. We developed a discrete event simulation model to measure a number of key performance metrics. This paper presents a crucial study which will enable service managers and directors of hospitals to foresee their activities in future and form a strategic plan well in advance.
This paper references
10.1007/s10729-010-9145-4
Using simulation modeling to improve patient flow at an outpatient orthopedic clinic
Thomas Rohleder (2011)
10.1016/J.ORHC.2016.03.002
Use of a simulation-based decision support tool to improve emergency department throughput
Chongsun Oh (2016)
Forecasting Principles and Applications
S. A. DeLurgio (1998)
10.1111/j.1553-2712.2007.00032.x
Forecasting daily patient volumes in the emergency department.
Spencer S. Jones (2008)
A COMPUTER SIMULATION MODEL TO REDUCE PATIENT LENGTH OF STAY AND TO IMPROVE RESOURCE UTILIZATION RATE IN AN EMERGENCY DEPARTMENT SERVICE SYSTEM
Muhammet Gul (2012)
10.1023/A:1009649615548
A simulation study of the winter bed crisis
Christos Vasilakis (2001)
10.1109/WSC.2006.323115
Simulation Model for Improving the Operation of the Emergency Department of Special Health Care
Toni Ruohonen (2006)
10.1258/hsmr.2009.009025
Forecasting the stochastic demand for inpatient care: the case of the Greek national health system
Zoe Boutsioli (2010)
10.1198/jasa.2011.r10138
Making and Evaluating Point Forecasts
Tilmann Gneiting (2009)
10.1007/s10729-006-6278-6
Stochastic bed balancing of an obstetrics hospital
Jeffery K. Cochran (2006)
Cost-Effectiveness Modelling Using Patient-Level Simulation
Sarah Davis (2014)
10.1057/jors.2014.124
Erratum: A better measure of relative prediction accuracy for model selection and model estimation
Chris Tofallis (2015)
10.1007/S10729-007-9035-6
A comprehensive simulation for wait time reduction and capacity planning applied in general surgery
Peter T. VanBerkel (2007)
10.1109/WSC.2006.323114
Understanding Accident and Emergency Department Performance using Simulation
Murat M. Gunal (2006)
10.5539/MAS.V6N11P9
Evaluating Emergency Department Resource Capacity Using Simulation
Norazura Ahmad (2012)
10.1016/j.jbi.2015.06.022
A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia
Patrick Aboagye-Sarfo (2015)
10.1109/TSMCA.2012.2210204
Reducing Length of Stay in Emergency Department: A Simulation Study at a Community Hospital
Junwen Wang (2012)
10.2307/2287014
Forecasting: Methods and Applications
Spyros Makridakis (1978)
10.1016/j.ahj.2008.07.007
Optimizing cardiology capacity to reduce emergency department boarding: a systems engineering approach.
S. Levin (2008)
10.1177/0037549707083111
Modeling and Improving Emergency Department Systems using Discrete Event Simulation
Christine Duguay (2007)
10.5430/JHA.V2N4P126
Estimation of unpredictable hospital demand variations in two Piraeus public hospitals, Greece
Zoe Boutsioli (2013)
10.1109/WSC.2008.4736231
Modelling patient arrivals when simulating an Accident and Emergency Unit
Le Yin Meng (2008)
10.1111/acem.12182
Forecasting daily emergency department visits using calendar variables and ambient temperature readings.
Izabel Marcilio (2013)
10.1136/bmj.c3790
The coalition government’s plans for the NHS in England
Chris Ham (2010)
10.1108/09526861211198290
Estimating ICU bed capacity using discrete event simulation.
Zhecheng Zhu (2012)
10.1016/j.cie.2015.02.018
A comprehensive review of emergency department simulation applications for normal and disaster conditions
Muhammet Gul (2015)
10.1016/j.ienj.2013.08.001
Knowing what to expect, forecasting monthly emergency department visits: A time-series analysis.
Jochen Bergs (2014)
10.2307/1269971
Simulation Modeling and Analysis
A. Law (1982)
10.1057/hs.2016.1
Demand and capacity modelling for acute services using discrete event simulation
Eren Demir (2017)
10.1057/hs.2012.8
A guide for building hospital simulation models
Murat M. Gunal (2012)
10.2307/1268124
Discrete-Event System Simulation
Jerry Banks (1995)
10.4258/hir.2010.16.3.158
Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis
Hye Jin Kam (2010)
10.1111/j.1553-2712.2001.tb00550.x
Predicting patient visits to an urgent care clinic using calendar variables.
Holly A. Batal (2001)
10.18637/JSS.V027.I03
Automatic Time Series Forecasting: The forecast Package for R
R. J. Hyndman (2008)
10.1071/ah070083
Forecasting emergency department presentations.
R. Champion (2007)
10.1186/1471-227X-9-1
Forecasting daily attendances at an emergency department to aid resource planning
Yan Sun (2009)
10.1109/WSC.2008.4736233
Improving patient flow in a hospital emergency department
Deborah J. Medeiros (2008)
10.1016/j.ijforecast.2006.03.001
Another look at measures of forecast accuracy
R. Hyndman (2006)
10.1016/j.simpat.2013.11.010
Applying simulation and DEA to improve performance of emergency department in a Jordanian hospital
Abbas Al-Refaie (2014)
10.1197/j.aem.2004.08.021
Discrete event simulation of emergency department activity: a platform for system-level operations research.
Lloyd G Connelly (2004)
10.2307/2582793
Computer simulation in management science
M. Pidd (1984)
10.1109/WSC.2005.1574570
Modeling emergency departments using discrete event simulation techniques
A. Komashie (2005)



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