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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
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Optimizing Resources for Endovascular Clot Retrieval for Acute Ischemic Stroke, a Discrete Event Simulation
Shiwei Huang1, Julian Maingard2,3, Hong Kuan Kok3,4
1The Canberra Hospital, Canberra, ACT, Australia.
Frontiers in Neurology
|July 19, 2019
Summary
Optimizing resources for endovascular clot retrieval (ECR) in acute ischemic stroke is crucial. A discrete event simulation model helps balance patient care and costs by analyzing resource allocation for ECR services.
Area of Science:
- Neurology
- Health Services Research
- Computational Modeling
Background:
- Endovascular clot retrieval (ECR) is the standard treatment for acute ischemic stroke caused by large vessel occlusion.
- ECR is a time-sensitive procedure requiring coordinated multidisciplinary teams and significant resources.
- Optimizing resource allocation is essential for maximizing patient benefit and minimizing healthcare costs.
Purpose of the Study:
- To develop a general computational model for endovascular clot retrieval (ECR) services.
- To utilize discrete event simulation (DES) for optimizing resource allocation in ECR.
Main Methods:
- A discrete event simulation (DES) approach was employed to model ECR service performance.
- Various scenarios and resource configurations were examined to assess their impact on ECR outcomes.
Main Results:
- The model quantified the impact of competing interventional cases on ECR treatment times.
- Simulation results highlighted the effects of increased physical resources (angiographic suites) and staff resources (extended work hours) on ECR efficiency.
Conclusions:
- The developed DES model provides a valuable tool for optimizing resources in the treatment of acute ischemic stroke and large vessel occlusion.
- This proof-of-concept study demonstrates the potential for computational simulation in ECR resource allocation, with future extensions including cost-effectiveness analysis.
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