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An agent-based simulation model for assessment of prehospital triage policies concerning destination of stroke patients

Al Fatah, Jabir; Alshaban, Ala'A; Holmgren, Johan and Petersson, Jesper LU (2018) 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2018 In Procedia Computer Science 141. p.405-412
Abstract

Stroke is a life threatening medical condition that is caused either by a blood clot or a bleeding inside the brain. It is generally agreed that immediate treatment of stroke patients is crucial for their ability to recover; however, before treatment can be initiated, the stroke patient has to be diagnosed using, for example, a computed tomography scan of the brain. This, in turn, requires that the patient is transported to a hospital for diagnosis, which is a procedure that consumes valuable time and resources. In the current paper, we present an agent-based simulation model for assessment of logistical stroke patient triage policies. Using a population of stroke patients as input, the model enables to simulate the activities and the... (More)

Stroke is a life threatening medical condition that is caused either by a blood clot or a bleeding inside the brain. It is generally agreed that immediate treatment of stroke patients is crucial for their ability to recover; however, before treatment can be initiated, the stroke patient has to be diagnosed using, for example, a computed tomography scan of the brain. This, in turn, requires that the patient is transported to a hospital for diagnosis, which is a procedure that consumes valuable time and resources. In the current paper, we present an agent-based simulation model for assessment of logistical stroke patient triage policies. Using a population of stroke patients as input, the model enables to simulate the activities and the main decisions involved in the logistical operations of stroke patients. In an experimental study covering the southernmost part of Sweden, we used the simulation model in order to assess two different policies regarding where to send patients for diagnosis; the nearest hospital policy and the nearest hospital towards the stroke center policy. Our simulation results show that the patients in need of special treatment favor from being transported in direction towards the stroke center, whereas the patients who are not in need of specialist treatment favor from being sent to the closest hospital.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Agent-based simulation, Ischemic stroke, Simulation, Stroke, Triage
host publication
9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2018
series title
Procedia Computer Science
volume
141
pages
8 pages
conference name
9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2018
conference location
Leuven, Belgium
conference dates
2018-11-05 - 2018-11-08
external identifiers
  • scopus:85058285712
ISSN
1877-0509
DOI
10.1016/j.procs.2018.10.183
language
English
LU publication?
yes
id
f2df2a6c-4535-48b0-946e-eff57d5d1038
date added to LUP
2019-01-08 11:14:37
date last changed
2019-01-08 11:14:37
@inproceedings{f2df2a6c-4535-48b0-946e-eff57d5d1038,
  abstract     = {<p>Stroke is a life threatening medical condition that is caused either by a blood clot or a bleeding inside the brain. It is generally agreed that immediate treatment of stroke patients is crucial for their ability to recover; however, before treatment can be initiated, the stroke patient has to be diagnosed using, for example, a computed tomography scan of the brain. This, in turn, requires that the patient is transported to a hospital for diagnosis, which is a procedure that consumes valuable time and resources. In the current paper, we present an agent-based simulation model for assessment of logistical stroke patient triage policies. Using a population of stroke patients as input, the model enables to simulate the activities and the main decisions involved in the logistical operations of stroke patients. In an experimental study covering the southernmost part of Sweden, we used the simulation model in order to assess two different policies regarding where to send patients for diagnosis; the nearest hospital policy and the nearest hospital towards the stroke center policy. Our simulation results show that the patients in need of special treatment favor from being transported in direction towards the stroke center, whereas the patients who are not in need of specialist treatment favor from being sent to the closest hospital.</p>},
  author       = {Al Fatah, Jabir and Alshaban, Ala'A and Holmgren, Johan and Petersson, Jesper},
  booktitle    = {Procedia Computer Science},
  issn         = {1877-0509},
  keyword      = {Agent-based simulation,Ischemic stroke,Simulation,Stroke,Triage},
  language     = {eng},
  location     = {Leuven, Belgium},
  pages        = {405--412},
  title        = {An agent-based simulation model for assessment of prehospital triage policies concerning destination of stroke patients},
  url          = {http://dx.doi.org/10.1016/j.procs.2018.10.183},
  volume       = {141},
  year         = {2018},
}