Simulation-based Analysis of Co-dispatching in Prehospital Stroke Care
(2024) 15th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th International Conference on Emerging Data and Industry 4.0, EDI40 2024 In Procedia Computer Science 238. p.412-419- Abstract
A mobile stroke unit (MSU) is a specialized ambulance, enabling to shorten the time to diagnosis and treatment for stroke patients. In the current paper, we present a simulation-based approach to study the potential impacts of collaborative use of regular ambulances and MSUs in prehospital transportation for stroke patients, denoted as co-dispatching. We integrated a co-dispatch policy in an existing modeling framework for constructing emergency medical services simulation models. In a case study, we applied the extended framework to southern Sweden to evaluate the effectiveness of using the co-dispatch policy for different types of stroke. The results indicate reduced time to diagnosis and treatment for stroke patients when using the... (More)
A mobile stroke unit (MSU) is a specialized ambulance, enabling to shorten the time to diagnosis and treatment for stroke patients. In the current paper, we present a simulation-based approach to study the potential impacts of collaborative use of regular ambulances and MSUs in prehospital transportation for stroke patients, denoted as co-dispatching. We integrated a co-dispatch policy in an existing modeling framework for constructing emergency medical services simulation models. In a case study, we applied the extended framework to southern Sweden to evaluate the effectiveness of using the co-dispatch policy for different types of stroke. The results indicate reduced time to diagnosis and treatment for stroke patients when using the co-dispatch policy compared to the situation where either a regular ambulance or an MSU is assigned for a stroke incident.
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- author
- Mahdiraji, Saeid Amouzad ; Holmgren, Johan ; Mihailescu, Radu Casian and Petersson, Jesper LU
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Co-dispatch, Framework, MSU, Simulation, Stroke, Transportation
- host publication
- The 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40)
- series title
- Procedia Computer Science
- volume
- 238
- pages
- 8 pages
- conference name
- 15th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th International Conference on Emerging Data and Industry 4.0, EDI40 2024
- conference location
- Hasselt, Belgium
- conference dates
- 2024-04-23 - 2024-04-25
- external identifiers
-
- scopus:85199555813
- ISSN
- 1877-0509
- DOI
- 10.1016/j.procs.2024.06.042
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 Elsevier B.V.. All rights reserved.
- id
- 4a960983-9e65-4c2d-a9c8-e81e204c7c28
- date added to LUP
- 2024-12-06 08:01:25
- date last changed
- 2025-04-04 15:07:36
@inproceedings{4a960983-9e65-4c2d-a9c8-e81e204c7c28,
abstract = {{<p>A mobile stroke unit (MSU) is a specialized ambulance, enabling to shorten the time to diagnosis and treatment for stroke patients. In the current paper, we present a simulation-based approach to study the potential impacts of collaborative use of regular ambulances and MSUs in prehospital transportation for stroke patients, denoted as co-dispatching. We integrated a co-dispatch policy in an existing modeling framework for constructing emergency medical services simulation models. In a case study, we applied the extended framework to southern Sweden to evaluate the effectiveness of using the co-dispatch policy for different types of stroke. The results indicate reduced time to diagnosis and treatment for stroke patients when using the co-dispatch policy compared to the situation where either a regular ambulance or an MSU is assigned for a stroke incident.</p>}},
author = {{Mahdiraji, Saeid Amouzad and Holmgren, Johan and Mihailescu, Radu Casian and Petersson, Jesper}},
booktitle = {{The 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40)}},
issn = {{1877-0509}},
keywords = {{Co-dispatch; Framework; MSU; Simulation; Stroke; Transportation}},
language = {{eng}},
pages = {{412--419}},
series = {{Procedia Computer Science}},
title = {{Simulation-based Analysis of Co-dispatching in Prehospital Stroke Care}},
url = {{http://dx.doi.org/10.1016/j.procs.2024.06.042}},
doi = {{10.1016/j.procs.2024.06.042}},
volume = {{238}},
year = {{2024}},
}