A simulation model for optimizing staffing in the emergency department

Melik Koyuncu, Ozgur M. Araz, Wes Zeger, Paul Damien

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

2 Scopus citations

Abstract

In this study we used a nonparametric statistical approach estimate time varying arrival rates to an Emergency Department (ED). These rates differ hourly within each month in a year. The time varying arrival rates serve as a key input into a new discrete-event simulation model for patient flow at an ED of the case study hospital. Our simulation model estimated Length of Stay (LOS) and Door to Doctor Time (DTDT) for patients in three different acuity groups. The simulation model also used for optimizing the staffing allocations in three different shifts. The methodological contributions are exemplified using real ED data from a major teaching hospital.

Original languageEnglish (US)
Title of host publicationHealth Care Systems Engineering - HCSE
EditorsEvren Sahin, Nico J. Vandaele, Paola Cappanera, Jingshan Li, Andrea Matta, Filippo Visintin
PublisherSpringer New York LLC
Pages201-208
Number of pages8
ISBN (Print)9783319661452
DOIs
StatePublished - 2017
Event3rd International Conference on Health Care Systems Engineering, HCSE 2017 - Florence, Italy
Duration: May 29 2017May 31 2017

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume210
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Other

Other3rd International Conference on Health Care Systems Engineering, HCSE 2017
CountryItaly
CityFlorence
Period5/29/175/31/17

Keywords

  • Discrete event simulation
  • Optimization
  • Quality of service
  • Time-varying arrival rates
  • Waiting time

ASJC Scopus subject areas

  • Mathematics(all)

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  • Cite this

    Koyuncu, M., Araz, O. M., Zeger, W., & Damien, P. (2017). A simulation model for optimizing staffing in the emergency department. In E. Sahin, N. J. Vandaele, P. Cappanera, J. Li, A. Matta, & F. Visintin (Eds.), Health Care Systems Engineering - HCSE (pp. 201-208). (Springer Proceedings in Mathematics and Statistics; Vol. 210). Springer New York LLC. https://doi.org/10.1007/978-3-319-66146-9_18