TY - GEN
T1 - An Optimization Model for the Placement of Mobile Stroke Units
AU - Mahdiraji, Saeid Amouzad
AU - Abid, Muhammad Adil
AU - Holmgren, Johan
AU - Mihailescu, Radu-Casian
AU - Lorig, Fabian
AU - Petersson, Jesper
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/12/20
Y1 - 2023/12/20
N2 - 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.
AB - 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.
KW - MILP
KW - Mobile Stroke Unit (MSU)
KW - MSU Placement
KW - Optimization
KW - Time to Treatment
UR - http://www.scopus.com/inward/record.url?scp=85180781530&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-48858-0_24
DO - 10.1007/978-3-031-48858-0_24
M3 - Conference contribution
AN - SCOPUS:85180781530
SN - 9783031488573
T3 - Communications in Computer and Information Science
SP - 297
EP - 310
BT - Advanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings
A2 - Guarda, Teresa
A2 - Portela, Filipe
A2 - Diaz-Nafria, Jose Maria
PB - Springer
T2 - 3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability 2023
Y2 - 18 October 2023 through 20 October 2023
ER -