Ali Pay Intelligent Navigation Applet-aided Pre-hospital Triage for Non-emergency Medical Service Patients With Acute Ischemic Stroke
NCT ID: NCT06613074
Last Updated: 2025-08-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
20000 participants
INTERVENTIONAL
2025-04-01
2026-05-01
Brief Summary
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Although tons of efforts have been made to improve the efficiency of emergency medical system in the transportation of patients with AIS, little attention has been paid to patients who arrived at hospitals on their owns, which occupying approximately 2/3 of emergency patients. This leaves a huge gap in the pre-hospital management of patietns with AIS.
Therefore, the investigators plan to develop an intelligent navigation system for patients with AIS. For the convenience of public use, this system was carried on the applet of Ali Pay, which has over 1.1 billion users in China. This system comprises of three functional modules, namely stroke knowledge education, stroke recognition and hospital recommendation. The investigators aim to explore whether this intelligent navigatino system could shorten pre-hospital delay and improve functional outcomes of patients with AIS undergoing reperfusion therapy.
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Detailed Description
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Although tons of efforts have been made to improve the efficiency of emergency medical system in the transportation of patients with AIS, little attention has been paid to patients who arrived at hospitals on their owns, which occupying approximately 2/3 of emergency patients. This leaves a huge gap in the pre-hospital management of patietns with AIS.
Therefore, the investigators plan to develop an intelligent navigation system for patients with AIS. For the convenience of public use, this system was carried on the applet of Ali Pay, which has over 1.1 billion users in China. This system comprises of three functional modules, namely stroke knowledge education, stroke recognition and hospital recommendation.The investigators aim to explore whether this intelligent navigatino system could shorten pre-hospital delay and improve functional outcomes of patients with AIS undergoing reperfusion therapy.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
SINGLE
Study Groups
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Ali Pay intelligent navigation applet group
Patients in regions with Ali Pay intelligent navigation applet being released would be classified as experimental arm.
In this arm, patients have access to this applet.
The intelligent navigation applet comprises of three function modules:
1. Stroke knowledge public education: information regarding prevention and emergency treatment of stroke would be push to users' mobile phones regularly;
2. Stroke recognition: questionaires, voice interaction, and facial recognition are employed to identify patients with AIS and large vessel occlusion;
3. Hospital recommendation: this module combines real-time traffic and average in-hopital delay of each stroke center nearby, recommending the stroke center in which patients are mostly likely to receive reperfusion therapy
No interventions assigned to this group
Routine pre-hospital triage
Patients in regions without Ali Pay intelligent navigation applet being released would be classified as control arm.
In this arm, patients do not have access to this applet.
No interventions assigned to this group
Interventions
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Ali Pay intelligent navigation applet
The intelligent navigation applet comprises of three function modules:
1. Stroke knowledge public education: information regarding prevention and emergency treatment of stroke would be push to users\' mobile phones regularly;
2. Stroke recognition: questionaires, voice interaction, and facial recognition are employed to identify patients with AIS and large vessel occlusion;
3. Hospital recommendation: this module combines real-time traffic and average in-hopital delay of each stroke center nearby, recommending the stroke center in which patients are mostly likely to receive reperfusion therapy
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Patients with in-hospital stroke
18 Years
ALL
No
Sponsors
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Second Affiliated Hospital, School of Medicine, Zhejiang University
OTHER
Responsible Party
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Min Lou
Prof. Dr.
Locations
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Shaoxing People's Hospital
Shaoxing, Zhejing, China
Countries
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Central Contacts
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Other Identifiers
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i-Path
Identifier Type: -
Identifier Source: org_study_id
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