Non-emergency Patient Transfer Scheduling and Assignment

Conference Paper (2020)
Author(s)

Travis Foster (Dalhousie University)

Peter Vanberkel (Dalhousie University)

Uday Venkatadri (Dalhousie University)

J.T. Theresia van Essen (TU Delft - Discrete Mathematics and Optimization)

Research Group
Discrete Mathematics and Optimization
Copyright
© 2020 Travis Foster, Peter Vanberkel, Uday Venkatadri, J.T. van Essen
DOI related publication
https://doi.org/10.1007/978-3-030-39694-7_1
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Travis Foster, Peter Vanberkel, Uday Venkatadri, J.T. van Essen
Research Group
Discrete Mathematics and Optimization
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
3-12
ISBN (print)
978-3-030-39693-0
ISBN (electronic)
978-3-030-39694-7
Reuse Rights

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Abstract

Emergency Medical Services organizations are responsible for providing paramedic crews, vehicles and equipment to transfer patients from one location to another in emergency and non-emergency settings. They must solve difficult scheduling and assignment problems to ensure on-time arrival of patients and the efficient use of health care resources during non-emergency operations. Ambulances can serve both emergency and non-emergency requests but are rarely available to serve non-emergency requests. Therefore, non-emergency requests are the responsibility of Patient Transfer Units. The objective of this study is to develop a mathematical model that will assign Patient Transfer Units to non-emergency patient transfer requests, design a schedule that will minimize travel costs and balance workloads and apply it to a real-world case study. This paper also proposes a framework to utilize historical patient transfer data in the scheduling process. The mathematical model provides decision support for the non-emergency patient transfer scheduling process.

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