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Using optimization to provide decision support for strategic emergency medical service planning - Three case studies
Norwegian Univ Sci and Technol, Norway.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5868-2388
Norwegian Univ Sci and Technol, Norway.
Norwegian Univ Sci and Technol, Norway.
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2020 (English)In: International Journal of Medical Informatics, ISSN 1386-5056, E-ISSN 1872-8243, Vol. 133, article id UNSP 103975Article in journal (Refereed) Published
Abstract [en]

To achieve high performing emergency medical services (EMS), planning is of vital importance. EMS planners face several challenges when managing ambulance stations and the fleet of ambulances. In this paper, three strategic cases for EMS planners are presented together with potential solutions. In the first case, the effects of closing down a local emergency room (ER) are analyzed together with how adding an ambulance station and an ambulance to the area affected by the closing of the ER can be used to mitigate the negative consequences from the closing. The second case investigates a change in the organization of EMS. Currently, many non-urgent transport assignments are performed by ambulances which make them unavailable for more urgent calls. The potential for a more effective utilization of the ambulances is explored through transferring these assignments to designated transport vehicles. The third case is more technical and challenges the common practice regarding how time dependent demand is handled. Looking at the busiest hour or the average daily demand, is compared with taking time varying demand into account. The cases and solutions are studied using a recently developed strategic ambulance station location and ambulance allocation model for the Maximum Expected Performance Location Problem with Heterogeneous Regions (MEPLP-HR). The model has been extended to also include multiple time periods. This article demonstrates an innovative use of the model and how it can be applied to find and evaluate solutions to real cases within the field of strategic planning of EMS. The model is found to be a useful decision support tool when analyzing the cases and the expected performance of potential solutions.

Place, publisher, year, edition, pages
ELSEVIER IRELAND LTD , 2020. Vol. 133, article id UNSP 103975
Keywords [en]
Ambulance station location; Ambulance allocation; Emergency response planning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-162861DOI: 10.1016/j.ijmedinf.2019.103975ISI: 000500773000004PubMedID: 31704491OAI: oai:DiVA.org:liu-162861DiVA, id: diva2:1382279
Available from: 2020-01-02 Created: 2020-01-02 Last updated: 2020-02-03

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