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D. Levy, F. Chaloupka, J. Gitchell, D. Méndez, K. Warner (2002)
The Use of Simulation Models for the Surveillance, Justification and Understanding of Tobacco Control PoliciesHealth Care Management Science, 5
D. Kelton, R. Sadowski, D. Sadowski (1998)
Simulation with Arena
M. Rauner (2002)
Using Simulation for AIDS Policy Modeling: Benefits for HIV/AIDS Prevention Policy Makers in Vienna, AustriaHealth Care Management Science, 5
S. Jacobson, E. Sewell (2002)
Using Monte Carlo Simulation to Determine Combination Vaccine Price Distributions for Childhood DiseasesHealth Care Management Science, 5
D. Lane, Camilla Monefeldt, J. Rosenhead (2000)
Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency departmentJournal of the Operational Research Society, 51
Fourth Edition, Averill Law (1982)
Simulation Modeling and Analysis
G. Zaric (2002)
Random vs. Nonrandom Mixing in Network Epidemic ModelsHealth Care Management Science, 5
R. Waldrop (2009)
Don't be put out by throughput in the emergency department.Physician executive, 35 3
E. Lazzara, Sallie Weaver, M. Weinger, Moshe Feldman, M. Rosen, K. Harrison, F. Seagull (2011)
Simulation in HealthcareProceedings of the Human Factors and Ergonomics Society Annual Meeting, 55
Jim Everett (2002)
A Decision Support Simulation Model for the Management of an Elective Surgery Waiting SystemHealth Care Management Science, 5
John Blake, M. Carter, Susan Richardson (1996)
An Analysis Of Emergency Room Wait Time Issues Via Computer SimulationInfor, 34
T. Proctor (1996)
Simulation in hospitals.Health manpower management, 22 5
Young Son (1993)
Simulation-based manufacturing accounting for modern managementJournal of Manufacturing Systems, 12
G. Merode, S. Groothuis, Milou Schoenmakers, H. Boersma (2002)
Simulation Studies and the Alignment of InterestsHealth Care Management Science, 5
D. Kyriacou, Vena Ricketts, P. Dyne, M. Mccollough, D. Talan (1999)
A 5-year time study analysis of emergency department patient care efficiency.Annals of emergency medicine, 34 3
(1997)
Web site on Singapore Health Care System, available at: www.moh.gov
James Anderson, W. Harshbarger, H. Weng, S. Jay, M. Anderson (2002)
Modeling the Costs and Outcomes of Cardiovascular SurgeryHealth Care Management Science, 5
James Anderson (2002)
Preface: Special Issue of Simulation in Health Care ManagementHealth Care Management Science, 5
A. Pritsker, J. O'Reilly, David LaVal (1997)
Simulation with Visual SLAM and AweSim
Paul Stepanovich, Jennifer Uhrig (1999)
Decision making in high-velocity environments: implications for healthcare.Journal of healthcare management / American College of Healthcare Executives, 44 3
Purpose – Using computer simulation, this paper seeks to model the emergency care process in a hospital and evaluate the effects of some proposed changes to improve patient wait times in the process. Design/methodology/approach – The paper is based upon a case study conducted at the hospital and uses historical data provided by the hospital to simulate the emergency care process. Findings – The simulation results demonstrate that the changes proposed can shorten patient wait times in the emergency care process. The proposed changes involve adding another payment station and a new short‐stay ward in the process. Based upon the results, the paper supports the implementation of the changes proposed. Research limitations/implications – A couple of limitations are recognized in this paper. First, the simulation does not consider varying the capacity of resources and locations involved in the emergency care process. Second, the simulation does not consider patients by clinical disciplines in which they are treated. Practical implications – The simulation results show that computer simulation can be an effective decision support tool in modelling the emergency care process and evaluating the effects of changes in the process. The results would be helpful to those who are considering reengineering and improving emergency care or other similar processes in hospitals. Originality/value – Based upon a case study using real‐world data, this paper extends the line of studies on computer simulation in healthcare by considering not only patient wait times in the emergency care process but also some ways to improve patient wait times and their effects on the process.
Business Process Management Journal – Emerald Publishing
Published: Sep 14, 2010
Keywords: Business process re‐engineering; Simulation; Health services; Hospitals; Modelling
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