Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-24T05:42:27.868Z Has data issue: false hasContentIssue false
  • English
  • Français

Accuracy of Computer Simulation to Predict Patient Flow during Mass-Casualty Incidents

Published online by Cambridge University Press:  28 June 2012

Jeffrey M. Franc-Law ,
Micheal J. Bullard  and
F. Della Corte
Jeffrey M. Franc-Law*
Affiliation:
Department of Emergency Medicine, University of Alberta Hospital, Edmonton, Alberta, Canada
Micheal J. Bullard
Affiliation:
Department of Emergency Medicine, University of Alberta Hospital, Edmonton, Alberta, Canada
F. Della Corte
Affiliation:
Department of Emergency Medicine, University of Alberta Hospital, Edmonton, Alberta, Canada
*
University of Alberta Hospital 8440 112 Street Edmonton, Alberta Canada T6G 2B7 E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Introduction:

Although most hospitals have an emergency department disas- ter plan, most never have been implemented in a true disaster or been tested objectively. Computer simulation may be a useful tool to predict emergency department patient flow during a disaster.

Purpose:

The aim of this study was to compare the accuracy of a computer simulation in predicting emergency department patient flow during a masscasualty incident with that of a real-time, virtual, live exercise.

Methods:

History, physical examination findings, and laboratory results for 136 simulated patients were extracted from the disastermed.ca patient database as used as input into a computer simulation designed to represent the emergency department at the University of Alberta Hospital.The computer simulation was developed using a commercially available simulation software platform (2005, SimProcess, CACI Products, San Diego CA). Patient flow parameters were compared to a previous virtual, live exercise using the same data set.

Results:

Although results between the computer simulation and the live exercise appear similar, they differ statistically with respect to many patient benchmarks. There was a marked difference between the triage codes assigned during the live exercise and those from the patient database; however, this alone did not account for the differences between the patient groups. It is likely that novel approaches to patient care developed by the live exercise group, which are difficult to model by computer software, contributed to differences between the groups. Computer simulation was useful, however, in predicting how small changes to emergency department structure, such as adding staff or patient care areas, can influence patient flow.

Conclusions:

Computer simulation is helpful in defining the effects of changes to a hospital disaster plan. However, it cannot fully replace participant exercises. Rather, computer simulation and live exercises are complementary, and both may be useful for disaster plan evaluation.

Keywords

computer simulationdisaster planningmass-casualty incidentsteachingvirtuallive exercise
Type
Original Research
Information
Prehospital and Disaster Medicine , Volume 23 , Issue 4 , August 2008 , pp. 354 - 360
Copyright
Copyright © World Association for Disaster and Emergency Medicine 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Murray, M, Bullard, M, Grafstein, E: Revisions to the Canadian emergency department triage and acuity scale implementation guidelines. Can J Emerg Med 2004;6: 421–427.Google Scholar
2.Auf Der Heide, E, Disaster Response: Principles and Coordination. St. Louis: The CN Mosby Company, 1989.Google Scholar
3.Bullard, MJ, Yoon, P: University of Alberta Hospital Patient Flow Study. 2004. unpublished data.Google Scholar
4.Glooven, DV, Van Laar, P, Garbett, D: Setting up an Interactive ETS Simulation Exercise. The Netherlands: ETS Competence Center.Google Scholar