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An Optimization Model for the Placement of Mobile Stroke Units

Amouzad Mahdiraji, Saeid ; Abid, Muhammad Adil ; Holmgren, Johan ; Mihailescu, Radu Casian ; Lorig, Fabian and Petersson, Jesper LU (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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Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
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}},
}