A framework for developing generalisable discrete event simulation models of hospital emergency departments

Boyle, Laura M., Marshall, Adele H., and Mackay, Mark (2022) A framework for developing generalisable discrete event simulation models of hospital emergency departments. European Journal of Operational Research, 302 (1). pp. 337-347.

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Abstract

Discrete event simulation (DES) is routinely used to model hospital emergency departments (EDs), primarily due to its ability to represent complex patient flow processes and investigate improvement strategies. Despite this, it is clear from published studies that many DES models are not subsequently implemented in hospitals or reused for other sites. This research addresses a gap in the literature by presenting a new data-driven modelling framework ‘GE-DES’, which outlines an approach to the design and development of generalisable ED models. The nature of the framework means that it is sufficiently flexible (i) for use across multiple EDs, and (ii) for investigating hospital-specific problems through data-driven customisation. The primary aim of GE-DES is to support model reuse and implementation. The framework is demonstrated through application to a case study ED in Australia.

Item ID: 74745
Item Type: Article (Research - C1)
ISSN: 1872-6860
Keywords: Discrete event simulation, Emergency departments, Generalisability, OR in health services, Simulation
Copyright Information: © 2022 Elsevier B.V. All rights reserved.
Date Deposited: 30 Nov 2022 05:54
FoR Codes: 49 MATHEMATICAL SCIENCES > 4901 Applied mathematics > 490108 Operations research @ 50%
32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320207 Emergency medicine @ 50%
SEO Codes: 20 HEALTH > 2002 Evaluation of health and support services > 200206 Health system performance (incl. effectiveness of programs) @ 100%
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