@inproceedings{76b2b8902ed542e68e161e7596917d25,
title = "A simulation model for optimizing staffing in the emergency department",
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.",
keywords = "Discrete event simulation, Optimization, Quality of service, Time-varying arrival rates, Waiting time",
author = "Melik Koyuncu and Araz, {Ozgur M.} and Wes Zeger and Paul Damien",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 3rd International Conference on Health Care Systems Engineering, HCSE 2017 ; Conference date: 29-05-2017 Through 31-05-2017",
year = "2017",
doi = "10.1007/978-3-319-66146-9_18",
language = "English (US)",
isbn = "9783319661452",
series = "Springer Proceedings in Mathematics and Statistics",
publisher = "Springer New York LLC",
pages = "201--208",
editor = "Evren Sahin and Vandaele, {Nico J.} and Paola Cappanera and Jingshan Li and Andrea Matta and Filippo Visintin",
booktitle = "Health Care Systems Engineering - HCSE",
}