VIZ ACCESS HCM - Multi-Site Registry

NCT ID: NCT07103057

Last Updated: 2025-08-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-06-13

Study Completion Date

2028-12-31

Brief Summary

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To describe the clinical, economic, and population characteristics of newly diagnosed, previously diagnosed, and suspected patients evaluated by Viz HCM. HCM is underdiagnosed in the community and AI algorithms have been developed as screening tools. However, it is not well understood how to best integrate AI screening tools and their potential impact.

Detailed Description

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Conditions

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Hypertrophic Cardiomyopathy

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Cohort 1- Newly Diagnosed Patients

This cohort will consist of individuals who are newly diagnosed with HCM after the site began using Viz HCM. These patients will serve as a key population to assess the AI tool's impact on diagnoses, timeliness, and subsequent initiation of treatment. Data collected will include pre-diagnostic clinical indicators, diagnostic pathways, and treatment decisions following diagnosis. This cohort will begin to describe patient access to care and the clinical outcomes following a new HCM diagnosis in an AI-augmented clinical workflow.

Viz HCM

Intervention Type DEVICE

Viz HCM is a Software as a Medical Device (SaMD) intended to receive 12-lead ECG recordings collected as part of a routine clinical assessment and analyze them in parallel to the standard of care. The device uses a machine learning based algorithm to analyze 12-lead ECGs and identify ECGs with suspected HCM.

Cohort 2 - Previously Diagnosed Patients

Patients in this cohort will have an existing diagnosis of HCM prior to the start of using Viz HCM. This group will allow for the evaluation of how the AI tool may influence ongoing management strategies, such as treatment adjustments, monitoring practices, risk stratification, and clinical outcomes. The cohort will also help assess whether the AI tool facilitates optimization of care by identifying missed opportunities or previously unrecognized complications.

Viz HCM

Intervention Type DEVICE

Viz HCM is a Software as a Medical Device (SaMD) intended to receive 12-lead ECG recordings collected as part of a routine clinical assessment and analyze them in parallel to the standard of care. The device uses a machine learning based algorithm to analyze 12-lead ECGs and identify ECGs with suspected HCM.

Cohort 3 - Suspected and Not Diagnosed Patients

This cohort will include patients who were suspected by Viz HCM users of having underlying HCM, but clinical work-up sufficient to produce a diagnosis of HCM (including imaging and/or genetic testing) did not occur within the data collection period. Data collected will focus on diagnostic pathways, attempts made to coordinate care, and categorical barriers to care.

Viz HCM

Intervention Type DEVICE

Viz HCM is a Software as a Medical Device (SaMD) intended to receive 12-lead ECG recordings collected as part of a routine clinical assessment and analyze them in parallel to the standard of care. The device uses a machine learning based algorithm to analyze 12-lead ECGs and identify ECGs with suspected HCM.

Cohort 4 - Unlikely HCM

This cohort will look at a subset of randomly selected patients who are suspected by Viz HCM of having underlying HCM but are moved to the subgroup 'Unlikely HCM' within the Viz app/web by a clinician. After 1 year of study enrollment, a list will be created by Viz and shared with study teams for collection of additional minimal data including age, sex, reason for unlikely HCM (via chat), demographics (race, ethnicity) and reason for ECG.

Viz HCM

Intervention Type DEVICE

Viz HCM is a Software as a Medical Device (SaMD) intended to receive 12-lead ECG recordings collected as part of a routine clinical assessment and analyze them in parallel to the standard of care. The device uses a machine learning based algorithm to analyze 12-lead ECGs and identify ECGs with suspected HCM.

Cohort 5 - Alerts Not Reviewed

This cohort will look at a subset of randomly selected patients who are suspected by Viz HCM of having underlying HCM, but the alert is never reviewed by a clinician. After 1 year of study enrollment, a list will be created by Viz and shared with study teams for collection of additional minimal data including age, sex, demographics (race, ethnicity) and reason for ECG.

Viz HCM

Intervention Type DEVICE

Viz HCM is a Software as a Medical Device (SaMD) intended to receive 12-lead ECG recordings collected as part of a routine clinical assessment and analyze them in parallel to the standard of care. The device uses a machine learning based algorithm to analyze 12-lead ECGs and identify ECGs with suspected HCM.

Interventions

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Viz HCM

Viz HCM is a Software as a Medical Device (SaMD) intended to receive 12-lead ECG recordings collected as part of a routine clinical assessment and analyze them in parallel to the standard of care. The device uses a machine learning based algorithm to analyze 12-lead ECGs and identify ECGs with suspected HCM.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

All Cohorts

* Patients aged 18+ years at time of arrival to healthcare facility
* Patients with a resting 12-lead digital electrocardiogram (ECG) that is flagged by Viz HCM for HCM suspicion

Additional cohort-specific criteria:

Cohort 1 - Newly Diagnosed Patients

* Patients have been diagnosed with HCM after the Viz HCM implementation
* Written informed consent is obtained prior to data collection

Cohort 2 - Previously Diagnosed Patients ● Prior diagnosis of HCM as evidenced by clinical diagnosis documentation prior to Viz HCM implementation

Cohort 3 - Suspected and Not Diagnosed Patients

● Patients did not receive sufficient clinical workup for HCM diagnosis confirmation

Cohort 4 - Unlikely HCM ● Patient ECG moved to 'Unlikely HCM' group within Viz by site study staff following HCM alert review

Cohort 5 - Alerts Not Reviewed

● HCM alert not reviewed by site study staff during study enrollment period
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Viz.ai, Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Milind Desai, MD

Role: PRINCIPAL_INVESTIGATOR

The Cleveland Clinic

Locations

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Emory University

Atlanta, Georgia, United States

Site Status NOT_YET_RECRUITING

North Shore University Health System

Evanston, Illinois, United States

Site Status RECRUITING

Thomas Jefferson University

Philadelphia, Pennsylvania, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Sloane Smith-Saunders, MBA, MPH

Role: CONTACT

‪(754) 307-6336‬

Ethan Carter, BSN

Role: CONTACT

‪(415) 409-9369‬

Facility Contacts

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Role: primary

404-884-1331

Role: primary

847-570-2000

Role: primary

800-533-3669

Other Identifiers

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Viz-HCM-10

Identifier Type: -

Identifier Source: org_study_id

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