VIZ ACCESS HCM - Multi-Site Registry

Part of paid clinical trials in Atlanta, Georgia.

Sponsor
Viz.ai, Inc.
Study ID
NCT07103057
Status
Recruiting

Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Viz HCM — 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.

Study Details

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.

Key Dates

Start date
Jun 13, 2025
Status verified
Aug 2025
Primary completion
Dec 31, 2028
Completion
Dec 31, 2028

Study Design

Enrollment
500 participants (estimated)

Arms

  • Arm: 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.
  • Arm: 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.
  • Arm: 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.
  • Arm: 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.
  • Arm: 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.

Primary Outcome Measure

Clinical characteristics of Viz HCM AI screening on HCM diagnosis [ Time Frame: Up to 3 years ]

Central Contacts

Locations (3)

FacilityCityStateZIPSite coordinators
Emory UniversityAtlantaGeorgia30322
404-884-1331
Ozlem Bilen, MD (PRINCIPAL_INVESTIGATOR)
North Shore University Health SystemEvanstonIllinois60201
847-570-2000
Robert Gordon, MD (PRINCIPAL_INVESTIGATOR)
Thomas Jefferson UniversityPhiladelphiaPennsylvania19107
800-533-3669
David Shipon, MD (PRINCIPAL_INVESTIGATOR)

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