Identifying the optimal configuration of an express care area in an emergency department: A des and metamodeling approach

Hyojung Kang, Jennifer M. Lobo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Annual Emergency Department (ED) visits have increased 44% over the last two decades while the number of EDs nationwide has fallen by 11%. This increase in demand has led to overcrowded EDs and increased length of stay, both of which have the potential to negatively affect patient outcomes and satisfaction. The University of Virginia (UVA) ED is considering process changes to the express care treatment area, an area that mostly treats low acuity patients, in an effort to reduce length of stay. We developed a discrete-event simulation model to assess the impact of changes to the express care area, including the number of treatment beds, hours of operation, and the types of patients sent to express care. Then, we developed a regression metamodel to analyze the impact of the proposed changes. The model findings suggest the current UVA ED express care settings are near optimal among the options considered.

Original languageEnglish (US)
Title of host publication2016 Winter Simulation Conference
Subtitle of host publicationSimulating Complex Service Systems, WSC 2016
EditorsTheresa M. Roeder, Peter I. Frazier, Robert Szechtman, Enlu Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1961-1969
Number of pages9
ISBN (Electronic)9781509044863
DOIs
StatePublished - Jul 2 2016
Event2016 Winter Simulation Conference, WSC 2016 - Arlington, United States
Duration: Dec 11 2016Dec 14 2016

Publication series

NameProceedings - Winter Simulation Conference
Volume0
ISSN (Print)0891-7736

Other

Other2016 Winter Simulation Conference, WSC 2016
CountryUnited States
CityArlington
Period12/11/1612/14/16

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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    Kang, H., & Lobo, J. M. (2016). Identifying the optimal configuration of an express care area in an emergency department: A des and metamodeling approach. In T. M. Roeder, P. I. Frazier, R. Szechtman, & E. Zhou (Eds.), 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016 (pp. 1961-1969). [7822241] (Proceedings - Winter Simulation Conference; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2016.7822241