The Impact of Artificial Intelligence Electrocardiography on Occlusion Myocardial Infarction Management Under the Value-Based Payment System
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-ECG P4P program.
- Who it may be relevant to
- Registry conditions: OMI - Occlusion Myocardial Infarction, Artificial Intelligence (AI), Electrocardiogram, Cost-effectiveness Analysis. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Taiwan
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
A Randomized Clinical Trial Investigating the Impact of Artificial Intelligence Electrocardiography on Occlusion Myocardial Infarction Management Under the Value-Based Payment System
Overview
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.
Detailed description
The investigators have developed an AI-ECG system that provides real-time notifications for patients with potential occlusion myocardial infarction. This AI algorithm is seamlessly integrated into the Hospital Information System, allowing for the automatic generation of reports whenever an ECG is performed. The purpose of this study is to evaluate the impact of AI-ECG on the timely diagnosis of STEMI, including patients' outcomes and healthcare costs.
Interventions
- Other 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.
Primary outcome measures
- D-to-W time (Door to Wire Time) [Time frame: From the start of the emergency visit to the following 48 hours.]
- Cost Outcome Measure [Time frame: From the start of the emergency visit to 90 days post-discharge.]
Secondary outcome measures (12)
- Door-to-Wire time less than 90 minutes [Time frame: 48 hours]
- In-hospital all-cause Mortality Rate [Time frame: 90-day follow]
- In-hospital cardiac death [Time frame: 90-day follow]
- Length of ICU [Time frame: 90-day follow]
- Length of hospitalization [Time frame: 90-day follow]
- Cardiovascular events [Time frame: 90-day follow]
- Non-fatal MI [Time frame: 90-day follow]
- Non-fatal stroke (Ischemic stroke + Hemorrhagic stroke) [Time frame: 90-day follow]
- Cardiac Death [Time frame: 90-day follow]
- Ischemic stroke [Time frame: 90-day follow]
- Hemorrhagic stroke [Time frame: 90-day follow]
- All-cause mortality [Time frame: 90-day follow]
Eligibility criteria
Inclusion criteria
- Patients in the emergency department
- Patients received at least 1 ECG examination.
Exclusion criteria
- The patients received ECG at the period of inactive AI-ECG system.
- Patients with a history of coronary angiography within the past 3 days.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Open label
- Primary purpose
- Screening
Study locations
Taiwan · 3 centers
- Kaohsiung Armed Forces General Hospital — Kaohsiung City
- Taipei Municipal Wanfang Hospital — Taipei
- Tri-Service General Hospital — Taipei
Identifiers
NCT: NCT06887699 · A202505035