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Viz HCM (ECG Assist) Utilization Workflow Pilot

Viz HCM (ECG Assist) Utilization Workflow Pilot

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06600256
Enrollment
217
Registered
2024-09-19
Start date
2022-01-10
Completion date
2024-06-30
Last updated
2024-09-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypertrophic Cardiomyopathy

Brief summary

This is a prospective, open-label, multi-center workflow pilot. Viz HCM will be implemented at each participating site and all conforming incoming ECG recordings within a 6-month enrollment period will be analyzed using Viz HCM. This workflow pilot provides an opportunity to understand how Viz HCM will be utilized and adopted post-market and to learn the pre- versus post-implementation impact of Viz HCM on HCM clinical workflow. This pilot is designed to evaluate the implementation of Viz HCM for use in traditional HCM clinical workflow. Findings from this pilot will help inform the following: * The impact of Viz HCM on HCM clinical workflow * How Viz HCM will be utilized and adopted post-market * The diversity in the HCM patient population and the variation in HCM clinical workflow

Detailed description

Hypertrophic cardiomyopathy (HCM) is a genetic cardiac disease that causes the walls of the lower heart chambers to thicken and stiffen. As the disease progresses, thickened walls around the left ventricle may block or reduce blood flow to the aorta, potentially interrupting the flow of oxygenated blood to the rest of the body. As a result, the heart must pump harder to overcome this obstruction and supply the body's circulation. HCM is initially suspected by the presence of an abnormal electrocardiogram (ECG) and confirmed by diagnostic imaging showing a left ventricular wall thickness of \>15mm (\>13mm in relatives of individuals with HCM or those who are genotype positive) that cannot be explained by another cardiac or general disease. The prevalence of HCM in the general population is 1:200 to 1:500 (\ 750,000 Americans); however only 10-20% of cases are diagnosed, signifying an under-recognition of HCM in clinical practice and thus a need for better disease detection. Viz HCM is a software device designed to alert and triage suspected HCM patients to the appropriate clinical care team. The device consists of an artificial intelligence algorithm embedded in a standalone mobile application. This is a prospective, open-label, multi-center workflow pilot. Viz HCM will be implemented at each participating site and all conforming incoming ECG recordings within a 6-month enrollment period will be analyzed using Viz HCM. The pilot will measure device utilization based on the percentage of HCM suspected notifications viewed by users. Among the number of viewed Viz suspected HCM cases, data will also be collected on time to follow-up as well as the type, date, and number of follow-up tests after notification. Impact of Viz HCM on clinical workflow will be established by comparing the number of HCM diagnosed patients (based on hospital records over the 6 months prior to site activation) \[pre-Viz\] to the number of HCM patients (flagged by Viz HCM and confirmed by follow-up transthoracic ECHO and/or CMR diagnostic imaging) after site activation \[post-Viz\]

Interventions

BEHAVIORALViz HCM ECG Review

Viz HCM will auto-alert relevant users to ECGs the algorithm has deemed as suspicious for HCM. Following review of this alert and the patient's Medical/Clinical History, the reviewer will take the next Standard of Care action they deem appropriate.

A review of the timing and clinical details of the diagnostic process for patients diagnosed with HCM before the site began using Viz HCM.

Sponsors

Viz.ai, Inc.
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients aged 18 years of greater at the time of arrival to healthcare facility * Patients underwent resting 12-lead digital electrocardiogram (ECG) at healthcare facility

Exclusion criteria

* Patients with poor or incomplete recordings

Design outcomes

Primary

MeasureTime frameDescription
Percentage of Viz suspected HCM cases viewed by usersup to 10 minutesAlgorithm performance - sensitivity and specificity of the Viz HCM software
Number of viewed Viz suspected HCM cases that receive any follow-up action (e.g., schedule test, physician referral)up to 10 minutesalgorithm processing time

Secondary

MeasureTime frameDescription
Number of HCM diagnosed patients (based on hospital records over the 6 months prior to site activation) [pre-Viz]up to 10 minutesalgorithm sensitivity
Number of HCM patients (flagged by Viz HCM and confirmed by follow-up transthoracic ECHO and/or CMR diagnostic imaging) [post-Viz]up to 10 minutesalgorithm specificity

Other

MeasureTime frameDescription
User satisfaction (Viz HCM Physician Satisfaction Survey)180 daysexploratory endpoint
Type, date, and number of follow-up tests after HCM notification180 daysexploratory endpoint
Time from HCM notification view to follow-up testing and/or documented diagnosisup to 48 hoursexploratory endpoint
Descriptive statistics by site and by patient demographic breakdown (e.g., race/ethnicity)180 daysexploratory endpoint

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026