An Optimization Model for the Placement of Mobile Stroke Units

Saeid Amouzad Mahdiraji, Muhammad Adil Abid, Johan Holmgren, Radu Casian Mihailescu, Fabian Lorig, Jesper Petersson

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

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.

Originalspråkengelska
Titel på värdpublikationAdvanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings
RedaktörerTeresa Guarda, Filipe Portela, Jose Maria Diaz-Nafria
FörlagSpringer Science and Business Media B.V.
Sidor297-310
Antal sidor14
ISBN (tryckt)9783031488573
DOI
StatusPublished - 2024
Evenemang3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023 - Madrid, Spanien
Varaktighet: 2023 okt. 182023 okt. 20

Publikationsserier

NamnCommunications in Computer and Information Science
Volym1935 CCIS
ISSN (tryckt)1865-0929
ISSN (elektroniskt)1865-0937

Konferens

Konferens3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023
Land/TerritoriumSpanien
OrtMadrid
Period2023/10/182023/10/20

Ämnesklassifikation (UKÄ)

  • Neurologi

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