Viz HCM (ECG Assist) Utilization Workflow Pilot

NCT ID: NCT06600256

Last Updated: 2024-09-19

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

COMPLETED

Total Enrollment

217 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-10

Study Completion Date

2024-06-30

Brief Summary

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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

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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 \[post-Viz\]

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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pre-Viz

The number of HCM diagnosed patients (based on hospital records over the 6 months prior to site activation with the Viz HCM software) \[pre-Viz\]

Baseline Effectiveness Cohort

Intervention Type BEHAVIORAL

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

post-Viz

The number of HCM patients (flagged by Viz HCM and confirmed by follow-up transthoracic ECHO and/or CMR diagnostic imaging) after site activation with the Viz HCM software \[post-Viz\]

Viz HCM ECG Review

Intervention Type BEHAVIORAL

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.

Interventions

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Viz 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.

Intervention Type BEHAVIORAL

Baseline Effectiveness Cohort

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

Intervention Type BEHAVIORAL

Eligibility Criteria

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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
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

Locations

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UC San Diego Sulpizio Cardiovascular Center

La Jolla, California, United States

Site Status

The Valley Hospital

Ridgewood, New Jersey, United States

Site Status

The Mount Sinai Hospital

New York, New York, United States

Site Status

Centennial Heart Cardiovascular Consultants

Nashville, Tennessee, United States

Site Status

HCA Methodist

San Antonio, Texas, United States

Site Status

Countries

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United States

Other Identifiers

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Viz-HCM-01

Identifier Type: -

Identifier Source: org_study_id

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