Publication Type

Conference Proceeding Article

Publication Date

8-2013

Abstract

In this work, we consider the problem of allocating doctors in the ambulatory area of a hospital's emergency department (ED) based on a set of policies. Traditional staffing methods are static, hence do not react well to surges in patient demands. We study strategies that intelligently adjust the number of doctors based on current and historical information about the patient arrival. Our main contribution is our proposed data-driven online approach that performs adaptive allocation by utilizing historical as well as current arrivals by running symbiotic simulation in real-time. We build a simulation prototype that models ED process that is close to real-world with time-varying demand and re-entrant patients. The experimental results show that our approach allows the ED to better cope with demand surges and to meet a service level desired by the hospital.

Discipline

Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering

Research Areas

Intelligent Systems and Decision Analytics

Publication

IEEE International Conference on Automation Science and Engineering (CASE)

First Page

984

Last Page

989

ISSN

2161-8070

Identifier

10.1109/CoASE.2013.6653988

Publisher

IEEE

City or Country

Madison, WI, USA

Additional URL

http://dx.doi.org/10.1109/CoASE.2013.6653988