The Impact of Artificial Intelligence Electrocardiography on Occlusion Myocardial Infarction Management Under the Value-Based Payment System
NCT ID: NCT06887699
Last Updated: 2025-03-24
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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NOT_YET_RECRUITING
NA
212000 participants
INTERVENTIONAL
2025-04-01
2028-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
SCREENING
NONE
Study Groups
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AI-ECG P4P program
AI-ECG-assisted detection of OMI within the P4P program. The AI-ECG system will conduct a real-time analysis of the ECG. When the system identifies potential OMI cases, it will immediately send short message service notifications to the on-duty cardiologists. This will enable the cardiologists to promptly review and confirm the diagnosis.
AI-ECG P4P program
The AI-ECG system will conduct a real-time analysis of the ECG. When the system identifies potential OMI cases, it will immediately send short message service notifications to the on-duty cardiologists. This will enable the cardiologists to promptly review and confirm the diagnosis.
Standard of care
Potential OMI patients will be initially assessed by frontline physicians. If OMI is suspected, the frontline physicians will promptly notify the on-duty cardiologists, who will then review the case for confirmation.
No interventions assigned to this group
Interventions
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AI-ECG P4P program
The AI-ECG system will conduct a real-time analysis of the ECG. When the system identifies potential OMI cases, it will immediately send short message service notifications to the on-duty cardiologists. This will enable the cardiologists to promptly review and confirm the diagnosis.
Eligibility Criteria
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Inclusion Criteria
* Patients received at least 1 ECG examination.
Exclusion Criteria
* Patients with a history of coronary angiography within the past 3 days.
18 Years
ALL
No
Sponsors
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National Defense Medical Center, Taiwan
OTHER
Responsible Party
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Chin Lin
Associate Professor
Principal Investigators
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Chin Lin, PhD
Role: PRINCIPAL_INVESTIGATOR
National Defense Medical Center
Locations
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Tri-Service General Hospital
Taipei, , Taiwan
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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A202505035
Identifier Type: -
Identifier Source: org_study_id
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