Viz HCM vs ContaCT
Direct competitors — feature-level head-to-head below.
Comparability 85/100
Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
AI Verdict
Both Viz HCM and ContaCT are AI-powered care coordination tools from Viz.ai, utilizing similar core technologies for disease detection and workflow optimization. Viz HCM is a specialized solution focused exclusively on Hypertrophic Cardiomyopathy, offering real-time ECG analysis and dedicated care coordination for this condition. In contrast, ContaCT is a broader platform designed for multi-disease detection and coordination, which includes HCM alongside other conditions like stroke and pulmonary embolism, making it suitable for organizations seeking a comprehensive solution across various specialties.
Choose Viz HCM if…
Choose Viz HCM if your primary objective is to specifically enhance the early detection and coordinated management of Hypertrophic Cardiomyopathy (HCM) within your cardiology department or health system. This tool leverages real-time ECG analysis to identify suspected HCM cases quickly, significantly reducing diagnosis time and streamlining the patient pathway to appropriate cardiac specialists.
View Viz HCM →Choose ContaCT if…
Choose ContaCT if your organization requires a broader, multi-disease AI-powered care coordination platform to accelerate detection and optimize workflows across various acute conditions, such as stroke, pulmonary embolism, and aneurysms, in addition to HCM. This comprehensive platform offers real-time alerts, secure mobile communication for multidisciplinary teams, and advanced image viewing capabilities to streamline urgent care pathways for a wider range of patients.
View ContaCT →Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Quick Comparison
| Feature | Viz HCM | ContaCT |
|---|---|---|
| Pricing | Subscription-based | Subscription-based |
| Deployment | Cloud-based platform, integrated into hospital IT systems (EHR, PACS). | Cloud-based, integrates with existing hospital IT infrastructure (PACS, EHR). |
| BAA Available | Yes AI-estimated | Unknown |
| FDA Status | Yes AI-estimated | 1 AI-estimated |
| HIPAA | Yes AI-estimated | Unknown |
Feature-by-Feature
Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.
| Feature | Viz HCM | ContaCT |
|---|---|---|
| Name | Viz HCM | ContaCT |
| Company | Viz.ai | Viz.AI |
| Description | Viz HCM is an FDA-cleared AI tool by Viz.ai that uses real-time ECG analysis to detect suspected Hypertrophic Cardiomyopathy (HCM) and coordinate cardiac care, significantly reducing diagnosis time. | Viz.ai is a pioneering AI-powered care coordination platform that accelerates disease detection and streamlines clinical workflows. With multiple FDA clearances, including the initial Viz.AI Contact application for stroke, it helps ensure patients receive timely treatment across over 1,700 hospitals globally. |
| Key Features | AI-powered ECG analysis for Hypertrophic Cardiomyopathy (HCM) detection, Real-time disease detection from electrocardiograms, Mobile-based alerts and notifications to multidisciplinary care teams, Automated direction of patients to appropriate care specialists, Reduces time to diagnosis and treatment for HCM, Streamlines cardiac care coordination and clinical workflows, Seamless integration with existing clinical workflows, EHR, and PACS systems, Clinically validated with extensive real-world evidence and publications | AI-powered disease detection (LVO, ICH, HCM, PE, Aneurysm), Real-time AI-powered alerts and notifications, Mobile application for specialists to view images and communicate, Secure, HIPAA-compliant group communication messaging, Integration with PACS and EHR systems, High-fidelity 3D web and mobile image viewer, Automated chart summarization, Guideline-based recommendations |
Videos
Demos, reviews, and walkthroughs featuring Viz HCM and ContaCT.
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Frequently Asked Questions
Viz HCM is an FDA-cleared AI tool that uses real-time ECG analysis to detect suspected Hypertrophic Cardiomyopathy (HCM) and coordinate cardiac care. ContaCT, also by Viz.ai, is a broader AI-powered care coordination platform that detects diseases such as LVO, ICH, HCM, PE, and Aneurysm, and includes features like a high-fidelity 3D web and mobile image viewer, suggesting image-based detection for many of its conditions.
While ContaCT lists HCM as one of the diseases it detects, Viz HCM is specifically designed for AI-powered ECG analysis to detect suspected HCM in real-time. Viz HCM's core functionality is centered around analyzing 12-lead ECGs for characteristics suggestive of HCM.
Viz HCM explicitly states that CMS reimbursement is available for CPT codes 0764T and 0765T for its use in HCM detection, with a national payment rate of $128.90 effective January 1, 2025. ContaCT's pricing details mention a subscription-based model with varying costs based on organization size and features, but do not specify any CPT codes or direct reimbursement opportunities.
Viz HCM focuses on automated direction of patients to appropriate care specialists and streamlining cardiac care coordination based on ECG analysis. ContaCT offers a mobile application for specialists to view images and communicate, secure HIPAA-compliant group messaging, a high-fidelity 3D web and mobile image viewer, automated chart summarization, and guideline-based recommendations.
Viz HCM is FDA-cleared specifically for AI-powered ECG analysis to detect suspected Hypertrophic Cardiomyopathy, receiving De Novo authorization in August 2023. ContaCT has multiple FDA clearances, including the initial Viz.AI Contact application for stroke, indicating a broader scope of clearances for various disease detections and care coordination functionalities.
Both Viz HCM and ContaCT are cloud-based platforms designed to integrate with existing hospital IT systems, including EHR and PACS. While the provided information does not explicitly state they can be integrated with each other, their common deployment model and shared company suggest potential for complementary use within a hospital system.
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Backers
Who funded each tool's parent company.