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An Optimization Model for the Placement of Mobile Stroke Units
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0003-2769-4826
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
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2023 (English)In: Advanced Research in Technologies, Information, Innovation and Sustainability: Third International Conference, ARTIIS 2023, Madrid, Spain, October 18–20, 2023, Proceedings, Part I / [ed] Teresa Guarda; Filipe Portela; Jose Maria Diaz-Nafria, Springer, 2023, p. 297-310Conference paper, Published paper (Refereed)
Abstract [en]

Mobile Stroke Units (MSUs) are specialized ambulances that can diagnose and treat stroke patients; hence, reducing the time to treatment for stroke patients. Optimal placement of MSUs in a geographic region enables to maximize access to treatment for stroke patients. We contribute a mathematical model to optimally place MSUs in a geographic region. The objective function of the model takes the tradeoff perspective, balancing between the efficiency and equity perspectives for the MSU placement. Solving the optimization problem enables to optimize the placement of MSUs for the chosen tradeoff between the efficiency and equity perspectives. We applied the model to the Blekinge and Kronoberg counties of Sweden to illustrate the applicability of our model. The experimental findings show both the correctness of the suggested model and the benefits of placing MSUs in the considered regions.

Place, publisher, year, edition, pages
Springer, 2023. p. 297-310
Series
Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937 ; 1935
Keywords [en]
Optimization, MILP, Time to Treatment, Mobile Stroke Unit (MSU), MSU Placement
National Category
Neurology Computational Mathematics
Identifiers
URN: urn:nbn:se:mau:diva-64865DOI: 10.1007/978-3-031-48858-0_24Scopus ID: 2-s2.0-85180781530ISBN: 978-3-031-48857-3 (print)ISBN: 978-3-031-48858-0 (electronic)OAI: oai:DiVA.org:mau-64865DiVA, id: diva2:1824878
Conference
Advanced Research in Technologies, Information, Innovation and Sustainability, Third International Conference, ARTIIS 2023, Madrid, Spain, October 18–20, 2023
Available from: 2024-01-08 Created: 2024-01-08 Last updated: 2024-01-08Bibliographically approved

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Amouzad Mahdiraji, SaeidAbid, Muhammad AdilHolmgren, JohanMihailescu, Radu-CasianLorig, Fabian

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Amouzad Mahdiraji, SaeidAbid, Muhammad AdilHolmgren, JohanMihailescu, Radu-CasianLorig, Fabian
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Department of Computer Science and Media Technology (DVMT)
NeurologyComputational Mathematics

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