Applying an Artificial Intelligence-Enabled Electrocardiographic System for Reducing Mortality
Applying an Artificial Intelligence-Enabled Electrocardiographic System for Reducing Mortality: a Pragmatic Randomized Clinical Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Taipei, Taiwan, 114
- National Defense Medical Center
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients in emergency department or inpatient department.
- Patients recieved at least 1 ECG examination.
Exclusion Criteria:
- The patients recieved ECG at the period of inactive AI-ECG system.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: SCREENING
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
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EXPERIMENTAL: Intervention
Patients randomized to intervention will have access to the screening tool.
Once the AI-ECG indicates high risk of mortality, a warning message would be immediately triggered and sent to the corresponding attending physicians.
Notifications appear in the recipient's smartphone message system for the prompt attention.
The message notified the physician that, "An ECG was received for patient X.
An ECG indicates high risk of mortality.
Please intensively attend to patient's conditions.
If the physicians need to further identify the ECG, click on the following link to connect the ECG and the result of AI-ECG prediction."
Of note, although we will actively send a warning message for high risk cases, the AI-ECG report for low risk cases still presented the degree of risk.
Physicians can check the relative severity by access EHR for patients in the intervention group.
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Primary care clinicians in the intervention group had access to the report, which shows the risk prediction results for each patients.
Moreover, the clinicians will recieve a short message when patients with a high risk ECG identified by AI.
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NO_INTERVENTION: Control
Patients will continue routine practice.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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All cause mortality (death)
Time Frame: Within 90 days
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After performing an electrocardiogram, the patient's survival is tracked.
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Within 90 days
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Cardiovascular cause mortality (death)
Time Frame: Within 90 days
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After performing an electrocardiogram, the patient's survival is tracked.
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Within 90 days
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Arrhythmia medication
Time Frame: Within 12 hours
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After performing an electrocardiogram, the patient recieved related intervention.
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Within 12 hours
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Electrolyte examination
Time Frame: Within 3 days
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After performing an electrocardiogram, the patient recieved electrolyte examination
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Within 3 days
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Cadiac examination
Time Frame: Within 3-7 days
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After performing an electrocardiogram, the patient recieved cadiac examination
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Within 3-7 days
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- NDMC2021005
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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