Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

12-2013

Abstract

Addressing issue of crowding in an Emergency Department (ED) typically takes the form of process engineering or single-faceted queue management strategies such as demand restriction, queue prioritization or staffing the ED. This work provides an integrated framework to manage queue dynamically from both demand and supply perspectives. More precisely, we introduce intelligent dynamic patient prioritization strategies to manage the demand concurrently with dynamic resource adjustment policies to manage supply. Our framework allows decision-makers to select both the demand-side and supply-side strategies to suit the needs of their ED. We verify through a simulation that such a framework improves the patients' length-of-stay in the ED without restricting the demand.

Discipline

Artificial Intelligence and Robotics | Medicine and Health Sciences | Operations Research, Systems Engineering and Industrial Engineering

Publication

WSC '13: Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World, December 8-11, 2013, Washington DC

First Page

2362

Last Page

23

Identifier

10.1109/WSC.2013.6721611

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/WSC.2013.6721611

Download

Share

COinS