A Reusable Discrete Event Simulation Model for Improving Orthopedic Waiting Lists

Boyle, Laura, and Mackay, Mark (2022) A Reusable Discrete Event Simulation Model for Improving Orthopedic Waiting Lists. In: Proceedings of the 2022 Winter Simulation Conference. pp. 973-984. From: WSC 2022: Winter Simulation Conference, 11-14 December 2022, Singapore.

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Abstract

Waiting lists for orthopedic treatment in Australia are lengthy and frequently breach time-based performance targets, due to high demand and limited resources. This paper presents a discrete event simulation model of an orthopedic treatment pathway in Australia from the point of referral to surgical intervention for knee pain patients. The simulation model was used to investigate strategies for reducing the backlog of patients and average waiting time for initial orthopedic review, showing that a reduction of 34% in average waiting time can be achieved by adding three additional appointments per week. The model demonstrates that introduction of community-based rehabilitation early in the patient journey can significantly reduce waiting lists and improve patient recovery, without the need for surgical intervention. This simulation model has been designed to be reusable for other types of orthopedic conditions, and for use in other health services.

Item ID: 77648
Item Type: Conference Item (Research - E1)
ISBN: 9798350309713
Copyright Information: © 2022 IEEE.
Date Deposited: 01 Mar 2023 01:55
FoR Codes: 49 MATHEMATICAL SCIENCES > 4901 Applied mathematics > 490108 Operations research @ 50%
42 HEALTH SCIENCES > 4203 Health services and systems > 420399 Health services and systems not elsewhere classified @ 50%
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