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Prehospital Response and Emergency Stroke Transport Optimisation
Sponsor: Xuanwu Hospital, Beijing
Summary
This study aims to develop and evaluate an innovative prehospital emergency transport system for patients with acute ischemic stroke to reduce delays in reperfusion treatment. The system integrates artificial intelligence-based prehospital stroke assessment, selected examinations and blood collection in the ambulance, and real-time information sharing between emergency medical services and the receiving hospital. Its effectiveness will be evaluated in a multicenter, stepped-wedge cluster randomized controlled trial comparing the innovative system with standard prehospital care. The primary outcome is the time from hospital arrival to intravenous thrombolysis.
Official title: Prehospital Response and Emergency Stroke Transport Optimisation: A Multicentre, Stepped-Wedge Cluster-Randomized Clinical Trial
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
320
Start Date
2026-10
Completion Date
2028-02
Last Updated
2026-10-23
Healthy Volunteers
No
Conditions
Interventions
Innovative pre-hospital emergency transport system for acute ischemic stroke
The system includes an AI-based pre-hospital stroke assessment tool (e.g., G-FAST score), rapid blood glucose testing, pre-hospital blood draws, ECG testing, and pre-thrombolysis informed consent. Real-time information sharing between the ambulance and the hospital is implemented to ensure coordinated care. All participants also receive standard in-hospital stroke evaluation and treatment.
Locations (1)
Xuanwu Hospital Capital Medical University
Beijing, China