Viz Hypertrophic Cardiomyopathy
End-to-end approach for detecting and directing hypertrophic cardiomyopathy (HCM) patients.
Increasing awareness and reach for a potentially fatal, yet commonly missed disease
Potentially fatal, yet commonly missed disease
1 Million people in the US suffer from hypertrophic cardiomyopathy (HCM). Only 20% of those have been diagnosed, with 5 years to diagnosis.
HCM is a leading cause of sudden cardiac death in people under age 35, but if detected early and treated, patients can achieve high quality of life and normal longevity.
End-to-end approach for detecting suspected HCM and directing patients
Viz HCM analyzes all 12-lead ECGs throughout the health system to flag and triage suspected cases to HCM specialists for diagnostic workup, all from the mobile app.
Flag suspected HCM: Review patients identified by AI as having signals of HCM
Follow Up: Direct patients to the HCM specialist for additional workup
Accelerate Diagnosis: View echo images and reports to diagnose HCM
Viz HCM Algorithm Development and Performance
Robust Al Development
- 830k+ ECG exams from 300k individuals
- Covering non-obstructive and obstructive HCM
Diverse Dataset
- Sourced from multiple locations globally
- Included racial & ethnic differences seen in PQRST-wave morphologies
Gold Standard Validated
- Echocardiography
- Cardiac MRIs
Hypertrophic Cardiomyopathy Education Series
Diagnosis, Therapeutics & Enhanced Pathways
A comprehensive program providing valuable insights into evidence-based best practices, using artificial intelligence (AI) for HCM, multidisciplinary care coordination, quality improvement strategies, and development of HCM programs.
Learn more