An Optimization Model for the Placement of Mobile Stroke Units
(2024) 3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023 In Communications in Computer and Information Science 1935 CCIS. p.297-310- Abstract
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... (More)
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.
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- author
- Amouzad Mahdiraji, Saeid ; Abid, Muhammad Adil ; Holmgren, Johan ; Mihailescu, Radu Casian ; Lorig, Fabian and Petersson, Jesper LU
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- MILP, Mobile Stroke Unit (MSU), MSU Placement, Optimization, Time to Treatment
- host publication
- Advanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings
- series title
- Communications in Computer and Information Science
- editor
- Guarda, Teresa ; Portela, Filipe and Diaz-Nafria, Jose Maria
- volume
- 1935 CCIS
- pages
- 14 pages
- publisher
- Springer Science and Business Media B.V.
- conference name
- 3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023
- conference location
- Madrid, Spain
- conference dates
- 2023-10-18 - 2023-10-20
- external identifiers
-
- scopus:85180781530
- ISSN
- 1865-0937
- 1865-0929
- ISBN
- 9783031488573
- DOI
- 10.1007/978-3-031-48858-0_24
- language
- English
- LU publication?
- yes
- id
- d8ff4088-b63d-41d3-a04e-06e52c8230bb
- date added to LUP
- 2024-02-07 15:41:10
- date last changed
- 2024-04-23 22:31:00
@inproceedings{d8ff4088-b63d-41d3-a04e-06e52c8230bb, abstract = {{<p>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.</p>}}, author = {{Amouzad Mahdiraji, Saeid and Abid, Muhammad Adil and Holmgren, Johan and Mihailescu, Radu Casian and Lorig, Fabian and Petersson, Jesper}}, booktitle = {{Advanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings}}, editor = {{Guarda, Teresa and Portela, Filipe and Diaz-Nafria, Jose Maria}}, isbn = {{9783031488573}}, issn = {{1865-0937}}, keywords = {{MILP; Mobile Stroke Unit (MSU); MSU Placement; Optimization; Time to Treatment}}, language = {{eng}}, pages = {{297--310}}, publisher = {{Springer Science and Business Media B.V.}}, series = {{Communications in Computer and Information Science}}, title = {{An Optimization Model for the Placement of Mobile Stroke Units}}, url = {{http://dx.doi.org/10.1007/978-3-031-48858-0_24}}, doi = {{10.1007/978-3-031-48858-0_24}}, volume = {{1935 CCIS}}, year = {{2024}}, }