Nothing Special   »   [go: up one dir, main page]

skip to main content
10.5555/1516744.1517010acmconferencesArticle/Chapter ViewAbstractPublication PageswscConference Proceedingsconference-collections
research-article

Reducing emergency department overcrowding: five patient buffer concepts in comparison

Published: 07 December 2008 Publication History

Abstract

Emergency Department (ED) overcrowding is a common medical care issue in the United States and other developed nations. One major cause of ED crowding are holding patients waiting in the Emergency Room (ER) for inpatient unit admission where they block critical ED resources. With input data from a hospital in Massachusetts/USA, we tested five patient buffer concepts which aim at relieving pressure of the ER. The buffers are also assumed to improve patient and staff satisfaction through their design tailored to needs in patient flow. To ensure patients safety, we performed tests with discrete event simulation in which we discovered 'triage to bed time' reductions of up to 22% and 'diversion hour' decreases of up to 24%. All buffers managed to run with significantly less resources than the ER. Our findings have a potential impact on hospital process flow due to clear results which offer substantial improvement of hospital organization.

References

[1]
Andrulis, D. P., A. Kellermann, E. A. Hintz, B. B. Hackman, and V. B. Weslowski. 1991. Emergency departments and crowding in United States teaching hospitals. Annals of Emergency Medicine 20:980--6.
[2]
Balci, O. 1995. Principles and Techniques of Simulation Validation, Verification, and Testing. Winter Simulation Conference Proceedings, 147--154.
[3]
Banks, J., J. Carson, B. Nelson, D. Nicol. 2005. Discrete-event system simulation - fourth edition. Pearson.
[4]
Bertoty, D. A., M. Kuszajewski, E. Marsh. 2007. Direct-to-room: one department's approach to improving ED throughput. Journal of Emergency Nursing 33:26--30.
[5]
Brewer, S. 2002. Study: clogged trauma care leads to deaths. Houston Chronicle. 3:A27. November 21, 2002.
[6]
Cowan, R., S. Trzeciak. 2005. Clinical review: Emergency department overcrowding and the potential impact on the critically ill. Critical Care 9:291--295.
[7]
Derlet, R. W., J. R. Richards, R. L. Kravitz. 2001. Frequent overcrowding in U.S. Emergency Departments. Academic Emergency Medicine 8:151--155.
[8]
Forster, A. J., I. Stiell, G. Wells, A. Lee, C. van Walraven. 2003. The Effect of Hospital Occupancy on Emergency Department Length of Stay and Patient Disposition. Academic Emergency Medicine. 10:127--133.
[9]
Garcia, M. L. 1995. Reducing Time in an Emergency Room via a Fast-Track. Winter Simulation Conference Proceedings, 1048--1053.
[10]
Greene, J. 2007. Emergency department flow and the boarded patient: how to get admitted patients upstairs. Annals of Emergency Medicine 49:68--70.
[11]
Hoot, N. R., C. Zhou, I. Jones, D. Aronsky. 2007. Measuring and Forecasting Emergency Department Crowding in Real Time. Annals of Emergency Medicine 49:747--755.
[12]
Jacobson, S. H., S. N. Hall, and J. R. Swisher. 2006. Discrete-Event Simulation of Healthcare Systems. In Patient Flow: Reducing Delay in Healthcare Delivery, ed. R. W. Hall, 211--252. Los Angeles: Springer.
[13]
Jones, S. S., T. L. Allen, T. J. Flottemesch, and S. J. Welch. 2006. An Independent Evaluation of Four Quantitative Emergency Department Crowding Scales. Academic Emergency Medicine 13:1204--1211.
[14]
Kelton, W. D., R. Sadowski, D. Sturrock. 2007. Simulation with Arena, fourth edition. McGrawHill: Boston.
[15]
Kolb, E. M. W. 2008. Emergency Department Crowding Analysis and Evaluation of Buffer Concepts by Predictive Discrete Event Simulation. Diplom thesis, Department of Mechanical Engineering, RWTH Aachen University, Germany.
[16]
Kolb, E. M. W., T. Lee, J. Peck. 2007. Effect of coupling between Emergency Department and Inpatient unit on the overcrowding in Emergency Department. Winter Simulation Conference Proceedings, 1586--1593.
[17]
Kowalczyk, L. 2007. At the ER, the stay can reach 8 hours - Loss of beds at major Bay State hospital is blamed. The Boston Globe. A1. March 25, 2007.
[18]
McCaig, L. F., C. W. Burt. 2004. National Hospital Ambulatory Medical Care Survey: 2002 emergency department summary. Advance Data 340:1--34.
[19]
Miro, O., M. Sanchez, G. Espinosa, B. Coll-Vinent, E. Bragulat, J. Milla, J. Wardrope. 2003. Analysis of patient flow in the emergency department and the effect of an extensive reorganization. Emergency Medicine Journal 20:143--148.
[20]
Rathlev, N. K., J. Chessare, J. Olshaker, D. Obendorfer, S. D. Mehta, T. Rothenhaus, S. Crespo, B. Magauran, K. Davidson, R. Shemin, K. Lewis, J. M. Becker, L. Fisher, L. Guy, A. Cooper, E. Litvak. 2007. Time Series Analysis of Variables Associated With Daily Mean Emergency Department Length of Stay. Annals of Emergency Medicine 49:265--271.
[21]
Richardson, D. B. 2006. Increase in patient mortality at 10 days associated with emergency department overcrowding. The Medical journal of Australia 124:213--216.
[22]
Richardson, T., R. Dick, S. Schneider. 2007. Evaluation of an Emergency Department Inpatient Observational Unit. Academic Emergency Medicine 14:S198
[23]
Sargent, R. G. 1999. Validation and Verification of Simulation Models. Winter Simulation Conference Proceedings, 39--48.
[24]
Schneider, S., F. Zwemer, A. Doniger, R. Dick, T. Czapranski. E. Davis. 2001. Rochester, New York: A Decade of Emergency Department Overcrowding. Annals of Emergency Medicine 8:1044--1050.
[25]
Subash, F., F. Dunn, B. McNicholl, J. Marlow. 2004. Team triage improves emergency department efficiency. Emergency Medicine Journal 21:542--544.
[26]
Schull, M. J., K. Lazier, M. Vermeulen, S. Mawhinney, and L. J. Morrison. 2003. Emergency department contributors to ambulance diversion: A quantitative analysis. Annals of Emergency Medicine 41:467--476.
[27]
Schull, M. J., A. Kiss, J. P. Szalai. 2007. The Effect of Low-Complexity Patients on Emergency Department Waiting Times. Annals of Emergency Medicine 49:257--264.
[28]
United States General Accounting Office (US GAO). 2003. Hospital Emergency Departments: Crowded Conditions Vary among Hospitals and Communities. Available via <http://www.gao.gov/new.items/d03460.pdf> {accessed March 31, 2007}.
[29]
Yancer, D. A., D. Foshee, H. Cole, R. Beauchamp, W. de la Pena, T. Keefe, W. Smith, K. Zimmerman, M. Lavine, B. Toops. 2006. Managing Capacity to Reduce Emergency Department Overcrowding and Ambulance Diversions. Joint Commission Journal on Quality and Patient Safety 32:239--245.

Cited By

View all
  • (2016)Evaluating alternative resource allocation in an emergency department using discrete event simulationSimulation10.1177/003754971667315092:12(1041-1051)Online publication date: 1-Dec-2016
  • (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
  • (2009)Toward simulation-based real-time decision-support systems for emergency departmentsWinter Simulation Conference10.5555/1995456.1995737(2042-2053)Online publication date: 13-Dec-2009
  • Show More Cited By
  1. Reducing emergency department overcrowding: five patient buffer concepts in comparison

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      WSC '08: Proceedings of the 40th Conference on Winter Simulation
      December 2008
      3189 pages
      ISBN:9781424427086

      Sponsors

      • IIE: Institute of Industrial Engineers
      • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
      • ASA: American Statistical Association
      • IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
      • SIGSIM: ACM Special Interest Group on Simulation and Modeling
      • NIST: National Institute of Standards and Technology
      • (SCS): The Society for Modeling and Simulation International

      Publisher

      Winter Simulation Conference

      Publication History

      Published: 07 December 2008

      Check for updates

      Qualifiers

      • Research-article

      Conference

      WSC08
      Sponsor:
      • IIE
      • INFORMS-SIM
      • ASA
      • IEEE/SMC
      • SIGSIM
      • NIST
      • (SCS)
      WSC08: Winter Simulation Conference
      December 7 - 10, 2008
      Florida, Miami

      Acceptance Rates

      WSC '08 Paper Acceptance Rate 249 of 304 submissions, 82%;
      Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)6
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 24 Nov 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2016)Evaluating alternative resource allocation in an emergency department using discrete event simulationSimulation10.1177/003754971667315092:12(1041-1051)Online publication date: 1-Dec-2016
      • (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
      • (2009)Toward simulation-based real-time decision-support systems for emergency departmentsWinter Simulation Conference10.5555/1995456.1995737(2042-2053)Online publication date: 13-Dec-2009
      • (2009)Analysis of ambulance diversion policies for a large-size hospitalWinter Simulation Conference10.5555/1995456.1995715(1875-1886)Online publication date: 13-Dec-2009

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media