A Micro-Level Simulation Model for Analyzing the Use of MSUs in Southern Sweden

Saeid Amouzad Mahdiraji*, Johan Holmgren, Radu Casian Mihailescu, Jesper Petersson

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)
14 Downloads (Pure)

Abstract

A mobile stroke unit (MSU) is a special type of ambulance, where stroke patients can be diagnosed and provided intravenous treatment, hence allowing to cut down the time to treatment for stroke patients. We present a discrete event simulation (DES) model to study the potential benefits of using MSUs in the southern health care region of Sweden (SHR). We included the activities and actions used in the SHR for stroke patient transportation as events in the DES model, and we generated a synthetic set of stroke patients as input for the simulation model. In a scenario study, we compared two scenarios, including three MSUs each, with the current situation, having only regular ambulances. We also performed a sensitivity analysis to further evaluate the presented DES model. For both MSU scenarios, our simulation results indicate that the average time to treatment is expected to decrease for the whole region and for each municipality of SHR. For example, the average time to treatment in the SHR is reduced from 1.31h in the baseline scenario to 1.20h and 1.23h for the two MSU scenarios. In addition, the share of stroke patients who are expected to receive treatment within one hour is increased by a factor of about 3 for both MSU scenarios.
Original languageEnglish
Pages (from-to)132-139
Number of pages8
JournalProcedia Computer Science
Volume198
Early online date26 Jan 2022
DOIs
Publication statusPublished - 2022
Event11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare - Leuven, Belgium
Duration: 1 Nov 20214 Nov 2021

Keywords

  • DES
  • Ischemic stroke
  • MSU
  • stroke logistics
  • stroke transport
  • time to treatment

ASJC Scopus subject areas

  • General Computer Science

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