Study Results
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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RECRUITING
500 participants
OBSERVATIONAL
2025-06-13
2028-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
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
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
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
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
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
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.
Eligibility Criteria
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Inclusion Criteria
* 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
18 Years
ALL
No
Sponsors
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Viz.ai, Inc.
INDUSTRY
Responsible Party
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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
North Shore University Health System
Evanston, Illinois, United States
Thomas Jefferson University
Philadelphia, Pennsylvania, United States
Countries
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Central Contacts
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Facility Contacts
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Role: primary
Role: primary
Role: primary
Other Identifiers
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Viz-HCM-10
Identifier Type: -
Identifier Source: org_study_id
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