Literature DB >> 2916776

Modeling emergency department operations using advanced computer simulation systems.

C E Saunders1, P K Makens, L J Leblanc.   

Abstract

We developed a computer simulation model of emergency department operations using simulation software. This model uses multiple levels of preemptive patient priority; assigns each patient to an individual nurse and physician; incorporates all standard tests, procedures, and consultations; and allows patient service processes to proceed simultaneously, sequentially, repetitively, or a combination of these. Selected input data, including the number of physicians, nurses, and treatment beds, and the blood test turnaround time, then were varied systematically to determine their simulated effect on patient throughput time, selected queue sizes, and rates of resource utilization. Patient throughput time varied directly with laboratory service times and inversely with the number of physician or nurse servers. Resource utilization rates varied inversely with resource availability, and patient waiting time and patient throughput time varied indirectly with the level of patient acuity. The simulation can be animated on a computer monitor, showing simulated patients, specimens, and staff members moving throughout the ED. Computer simulation is a potentially useful tool that can help predict the results of changes in the ED system without actually altering it and may have implications for planning, optimizing resources, and improving the efficiency and quality of care.

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Year:  1989        PMID: 2916776     DOI: 10.1016/s0196-0644(89)80101-5

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  14 in total

1.  Modeling the emergency cardiac in-patient flow: an application of queuing theory.

Authors:  Arnoud M de Bruin; A C van Rossum; M C Visser; G M Koole
Journal:  Health Care Manag Sci       Date:  2007-06

2.  Forecasting emergency department crowding: a prospective, real-time evaluation.

Authors:  Nathan R Hoot; Larry J Leblanc; Ian Jones; Scott R Levin; Chuan Zhou; Cynthia S Gadd; Dominik Aronsky
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

3.  Laboratory turnaround time.

Authors:  Robert C Hawkins
Journal:  Clin Biochem Rev       Date:  2007-11

4.  Forecasting emergency department crowding: a discrete event simulation.

Authors:  Nathan R Hoot; Larry J LeBlanc; Ian Jones; Scott R Levin; Chuan Zhou; Cynthia S Gadd; Dominik Aronsky
Journal:  Ann Emerg Med       Date:  2008-04-03       Impact factor: 5.721

5.  Understanding Emergency Care Delivery Through Computer Simulation Modeling.

Authors:  Lauren F Laker; Elham Torabi; Daniel J France; Craig M Froehle; Eric J Goldlust; Nathan R Hoot; Parastu Kasaie; Michael S Lyons; Laura H Barg-Walkow; Michael J Ward; Robert L Wears
Journal:  Acad Emerg Med       Date:  2017-09-21       Impact factor: 3.451

6.  Improving outpatient clinic staffing and scheduling with computer simulation.

Authors:  F Hashimoto; S Bell
Journal:  J Gen Intern Med       Date:  1996-03       Impact factor: 5.128

7.  Analysis of the literature on emergency department throughput.

Authors:  Leslie S Zun
Journal:  West J Emerg Med       Date:  2009-05

8.  Decreased length of stay after addition of healthcare provider in emergency department triage: a comparison between computer-simulated and real-world interventions.

Authors:  Theodore Eugene Day; Abdul Rahim Al-Roubaie; Eric Jonathan Goldlust
Journal:  Emerg Med J       Date:  2012-03-07       Impact factor: 2.740

9.  Load Balancing at Emergency Departments using 'Crowdinforming'.

Authors:  Marcia R Friesen; Trevor Strome; Shamir Mukhi; Robert McLoed
Journal:  Online J Public Health Inform       Date:  2011-11-07

10.  Evaluating multiple performance measures across several dimensions at a multi-facility outpatient center.

Authors:  Marie E Matta; Sarah Stock Patterson
Journal:  Health Care Manag Sci       Date:  2007-06
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