A Multicenter Pragmatic Implementation Study of ECG-AI-Based Clinical Decision Support Software to Identify Low LVEF

NATerminatedINTERVENTIONAL
Enrollment

11,610

Participants

Timeline

Start Date

June 13, 2024

Primary Completion Date

May 30, 2025

Study Completion Date

May 30, 2025

Conditions
Ventricular Ejection Fraction
Interventions
DEVICE

Anumana Low EF AI-ECG Algorithm

Clinician will have access to the Anumana Low EF AI-ECG algorithm via a link in the patient's electronic health record which will display results applied to patients' ECGs, as well as supporting information. Using the results of the algorithm, combined with the clinician's knowledge of patient-specific risk factors, the clinician will determine whether further evaluation is warranted.

OTHER

Care-as-Usual

Clinicians will not have access to the Anumana Low EF AI-ECG algorithm and will provide care-as-usual.

Trial Locations (5)

27710

Duke Health, Durham

32224

Mayo Clinic Florida, Jacksonville

55905

Mayo Clinic Rochester, Rochester

75390

University of Texas Southwestern, Dallas

85054

Mayo Clinic Arizona, Phoenix

Sponsors

Lead Sponsor

Collaborators (1)

All Listed Sponsors
collaborator

Mayo Clinic

OTHER

lead

Anumana, Inc.

INDUSTRY

NCT05867407 - A Multicenter Pragmatic Implementation Study of ECG-AI-Based Clinical Decision Support Software to Identify Low LVEF | Biotech Hunter | Biotech Hunter