Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/9885
Appears in Collections:Management, Work and Organisation Journal Articles
Peer Review Status: Refereed
Title: Developing a resource allocation model for the Scottish Patient Transport Service
Author(s): Bowers, John
Lyons, Bob
Mould, Gillian
Contact Email: j.a.bowers@stir.ac.uk
Keywords: health service
vehicle routeing
allocation
decision support systems
methodology.
Patients Transportation
Ambulance service
Issue Date: Dec-2012
Date Deposited: 2-Nov-2012
Citation: Bowers J, Lyons B & Mould G (2012) Developing a resource allocation model for the Scottish Patient Transport Service. Operations Research for Health Care, 1 (4), pp. 84-94. https://doi.org/10.1016/j.orhc.2012.10.002
Abstract: The Patient Transport Service is a vital component of many healthcare systems. However, increasing demand and constrained resources impose great challenges, especially in Scotland where there is a substantial remote and rural population. This case study describes the development of a decision support tool for strategic resource allocation decisions. The tool had to be relevant to management's practical needs including transparency to a range of stakeholders and a flexible speedy response to help management explore various operational and policy options. However, the tool also had to demonstrate rigour and identify an efficient allocation of resources. In response to these requirements, the decision support tool was constructed from simple models, verified in comparisons with more rigorous and sophisticated approaches, notably a Dial-a-Ride genetic algorithm and an open vehicle routing simulation. Using this tool, management were able to: identify a more rational, strategic allocation of resources; quantify the remote and rural effect; examine trade-offs between service level and resource requirements within various scenarios for future demand.
DOI Link: 10.1016/j.orhc.2012.10.002
Rights: Publisher policy allows this work to be made available in this repository. Published in Operations Research for Health Care, 1.4, pp.84-94, 12/2012, by Elsevier. The original publication is available at http://dx.doi.org/10.1016/j.orhc.2012.10.002

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