NOrthwestern Tempus AI-enaBLed Electrocardiography (NOTABLE) Trial
NCT06511505 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000
Last updated 2024-07-22
Summary
The goal of this clinical trial is to determine if a machine learning/artificial intelligence (AI)-based electrocardiogram (ECG) algorithm (Tempus Next software) can identify undiagnosed cardiovascular disease in patients. It will also examine the safety and effectiveness of using this AI-based tool in a clinical setting. The main questions it aims to answer are:
1. Can the AI-based ECG algorithm improve the detection of atrial fibrillation and structural heart disease?
2. How does the use of this algorithm affect clinical decision-making and patient outcomes? Researchers will compare the outcomes of healthcare providers who receive the AI-based ECG results to those who do not.
Participants (healthcare providers) will:
Be randomized into two groups: one that receives AI-based ECG results and one that does not.
In the intervention group, receive an assessment of their patient's risk of atrial fibrillation or structural heart disease with each ordered ECG.
Decide whether to perform further clinical evaluation based on the AI-generated risk assessment as part of routine clinical care.
Conditions
- Atrial Fibrillation
- Cardiovascular Diseases
- Arrhythmia
- Valvular Disease
Interventions
- OTHER
-
TEMPUS AI-enabled ECG-based Screening Tool
The AI-enabled ECG-based screening tool, Tempus Next software, analyzes 12-lead ECG recordings to identify patients at increased risk for undiagnosed cardiovascular diseases, specifically atrial fibrillation (AF) and structural heart disease (SHD). Clinicians in the intervention group will receive a risk assessment for AF and SHD each time they order an ECG for their patients.
Sponsors & Collaborators
- lead OTHER
Principal Investigators
-
Sanjiv Shah, MD · Northwestern University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SCREENING
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 40 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-08-03
- Primary Completion
- 2025-08-03
- Completion
- 2026-02-03
- FDA Device
- Yes
Countries
- United States
Study Locations
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