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 — DEVICEViz 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 PatientsThis 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 PatientsPatients 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 PatientsThis 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 HCMThis 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 ReviewedThis 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
- Sloane Smith-Saunders, MBA, MPH(754) 307-6336
- Ethan Carter, BSN(415) 409-9369
Locations (3)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Emory University | Atlanta | Georgia | 30322 | 404-884-1331 Ozlem Bilen, MD (PRINCIPAL_INVESTIGATOR) |
| North Shore University Health System | Evanston | Illinois | 60201 | 847-570-2000 Robert Gordon, MD (PRINCIPAL_INVESTIGATOR) |
| Thomas Jefferson University | Philadelphia | Pennsylvania | 19107 | 800-533-3669 David Shipon, MD (PRINCIPAL_INVESTIGATOR) |
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