A Randomized Clinical Trial Investigating the Impact of Artificial Intelligence Electrocardiography on Occlusion Myocardial Infarction Management Under the Value-Based Payment System
Status: Recruiting
Location: See all (3) locations...
Intervention Type: Other
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY
This trial will prospectively evaluate the impact of integrating AI-ECG within the pay-for-performance program on improving the diagnosis, treatment, and clinical outcomes of occlusion myocardial infarction patients by promoting accurate and timely diagnoses through financial incentives.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:
• Patients in the emergency department
• Patients received at least 1 ECG examination.
Locations
Other Locations
Taiwan
Kaohsiung Armed Forces General Hospital
RECRUITING
Kaohsiung City
Taipei Municipal Wanfang Hospital
RECRUITING
Taipei
Tri-Service General Hospital
RECRUITING
Taipei
Contact Information
Primary
Chin Lin, PhD
xup6fup@mail.ndmctsgh.edu.tw
+886-2-8792-3100
Time Frame
Start Date: 2025-08-01
Estimated Completion Date: 2028-06-30
Participants
Target number of participants: 212000
Treatments
Experimental: 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.
No_intervention: 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.
Related Therapeutic Areas
Sponsors
Leads: National Defense Medical Center, Taiwan