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Modeling and analysis of the emergency department at university of Kentucky Chandler Hospital using simulations

  • Stuart Brenner
  • , Zhen Zeng
  • , Yang Liu
  • , Junwen Wang
  • , Jingshan Li
  • , Patricia K. Howard

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Introduction: In this article, we present a simulation study conducted in the emergency department at the University of Kentucky Chandler Hospital. Methods: Based on analysis of process and flow data, a simulation model of patient throughput in the emergency department has been developed. Results: What-if analyses have been proposed to identify bottlenecks and investigate the optimal numbers of human and equipment resources (eg, nurses, physicians, and radiology technology). The simulation results suggest that 3 additional nurses are needed to ensure desired clinical outcomes. Diagnostic testing, the computed tomography scan in particular, is found to be a bottleneck. As a result, acquisition of an additional computed tomography scanner is recommended. Hospital management has accepted the recommendations, and implementation is in progress. Discussion: Such a model provides a quantitative tool for continuous improvement and process control in the emergency department and also is applicable to other departments in the hospital. © 2010 Emergency Nurses Association.
Original languageEnglish
Pages (from-to)303-310
JournalJournal of Emergency Nursing
Volume36
Issue number4
DOIs
Publication statusPublished - Jul 2010
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Bottleneck
  • Emergency department
  • Patient flow
  • Simulation
  • What-if analysis

Policy Impact

  • Cited in Policy Documents

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