AT-Patch (ATP-C130/ATP-C70) vs EchoNext

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 65/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
by ATsens Co.
VS
by Pathway Labs

AI Verdict

AT-Patch is a wearable ECG monitor focused on continuous cardiac monitoring and arrhythmia detection, making it suitable for extended patient monitoring. EchoNext, on the other hand, is an AI tool that analyzes standard ECGs to detect hidden structural heart disease, serving as a diagnostic support for existing ECG data. While both are cardiology AI tools with FDA clearance, their primary functions and deployment models cater to different stages of cardiac assessment.

Choose AT-Patch (ATP-C130/ATP-C70) if…

Choose AT-Patch if you need extended, continuous ECG monitoring for up to 14 days, particularly for detecting intermittent arrhythmias or when patient comfort and a shower-proof design are priorities. Its integrated AI-powered analysis software and smartphone app for live viewing and symptom recording make it suitable for ambulatory cardiac monitoring in various clinical settings.

View AT-Patch (ATP-C130/ATP-C70) →

Choose EchoNext if…

Choose EchoNext if your primary goal is to screen for hidden structural heart disease, including heart failure, valve disease, and pulmonary hypertension, using standard 12-lead ECGs. This AI tool is ideal for identifying high-risk patients who may require further diagnostic evaluation with an echocardiogram, thereby enabling earlier detection and intervention for critical cardiac conditions.

View EchoNext →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature AT-Patch (ATP-C130/ATP-C70) EchoNext
Pricing N/a Starts at $600/month
Deployment Wearable device for patients; analysis software deployed on-premise at medical institutions. Available through the OpenEvidence clinical decision support platform.
BAA Available Unknown Yes AI-estimated
FDA Status 1 AI-estimated Yes AI-estimated
HIPAA Unknown Yes AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

AT-Patch (ATP-C130/ATP-C70)

AT-Patch is a wearable, lightweight (13g), shower-proof device that offers up to 14 days of continuous monitoring without needing recharging or electrode replacement, promoting high patient adherence and comfort during daily activities. It also features a smartphone app (AT-Note) for live ECG viewing and symptom recording, and its analysis software (AT-Report) is designed for rapid and elaborate analysis by medical professionals. EchoNext, while utilizing standard ECGs which are routine and inexpensive, is a software tool deployed through a clinical decision support platform, meaning its usability is more focused on the clinician's workflow rather than direct patient interaction and comfort.

Clinical Value

EchoNext

EchoNext offers significant clinical value by detecting hidden structural heart disease, including heart failure, valve disease, and pulmonary hypertension, from standard ECGs, which traditionally cannot identify these conditions. Studies have shown EchoNext to have high diagnostic accuracy, outperforming cardiologists in identifying structural heart problems. AT-Patch provides continuous ECG monitoring for arrhythmia detection, which is crucial for conditions like atrial fibrillation, and has demonstrated comparable diagnostic capability to conventional systems.

Pricing & Value

EchoNext

EchoNext has publicly available tiered pricing starting at $600/month, offering transparency and different options for various institutional sizes, including discounts for annual commitments. This clear pricing structure allows potential customers to assess the cost-effectiveness directly. AT-Patch's pricing is not publicly available and typically involves direct sales, making it difficult to assess its value proposition without direct inquiry.

Enterprise Readiness

EchoNext

EchoNext is available through the OpenEvidence clinical decision support platform, which is used by a significant number of U.S. physicians, indicating a strong existing infrastructure for deployment and integration into clinical workflows. It also explicitly mentions being designed for broad access, from major hospitals to community practices, and has secured significant seed funding to support expansion across health systems. AT-Patch's deployment is on-premise at medical institutions, and while it has FDA clearance and is used in clinical studies, its enterprise readiness details are less explicitly defined in terms of broad platform integration or scalability across diverse healthcare settings.

Innovation

EchoNext

EchoNext represents a significant innovation by being the world's first FDA-approved AI tool to detect hidden structural heart disease from standard ECGs, a capability previously not thought possible with ECGs alone. This expands the utility of a common, inexpensive test for early detection of serious conditions. AT-Patch offers innovative features like a shower-proof design, long-term continuous monitoring without charging, and AI-powered arrhythmia analysis, but its core function of ECG monitoring is a more established area.

Support & Docs

Tie

Both tools are FDA-cleared, implying a certain level of documentation and validation. AT-Patch provides a smartphone app (AT-Note) for patients and analysis software (AT-Report) for clinicians, with user manuals available. EchoNext has been developed by researchers at NewYork-Presbyterian and Columbia University, with studies published in reputable journals like Nature and Nature Medicine, suggesting robust scientific documentation. However, specific details on ongoing customer support channels, training programs, or publicly accessible comprehensive documentation portals are not extensively detailed for either product in the provided information.

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature AT-Patch (ATP-C130/ATP-C70) EchoNext
Product Name AT-Patch (ATP-C130/ATP-C70) EchoNext
Company ATsens Co. Pathway Labs
Description FDA-cleared wearable ECG monitor offering up to 14 days of continuous cardiac monitoring with high accuracy, a shower-proof design, and integrated AI-powered analysis software for enhanced arrhythmia detection. FDA-cleared AI tool that analyzes standard ECGs to detect hidden structural heart disease, including heart failure, valve disease, and pulmonary hypertension.
Key Features Up to 14 days of continuous ECG monitoring (ATP-C130), High-performance sensor chip for accurate ECG signal acquisition, Short-length electrode to minimize motion artifact noise, Shower-proof design (IP57 for ATP-C130, IP44 for ATP-C70), No charging or electrode replacement required during monitoring, Compact and lightweight (13g) for patient comfort, AT-Note smartphone app for live ECG viewing and symptom recording, AT-Report software with AI/machine learning algorithms for ECG analysis AI-powered ECG analysis, Detection of hidden structural heart disease, Identifies heart failure risk, Screens for valve disease, Detects pulmonary hypertension indicators, Utilizes standard 12-lead ECGs, FDA-cleared technology, Non-invasive diagnostic support

Videos

Demos, reviews, and walkthroughs featuring AT-Patch (ATP-C130/ATP-C70) and EchoNext.

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Frequently Asked Questions

AT-Patch integrates as a wearable device for patients, with its analysis software (AT-Report) deployed on-premise at medical institutions. The AT-Note smartphone app allows patients to view live ECGs and record symptoms, which can then be used by medical professionals for diagnosis. EchoNext is available through the OpenEvidence clinical decision support platform, allowing physicians to submit standard ECGs for AI-assisted analysis.
AT-Patch offers high accuracy for continuous cardiac monitoring and arrhythmia detection, with studies showing it can detect atrial fibrillation in a moderate number of high-risk patients. EchoNext, an AI tool, has demonstrated superior diagnostic accuracy for structural heart disease compared to cardiologists, identifying 77% of structural heart problems compared to cardiologists' 64% accuracy in a study.
A physician would choose AT-Patch for continuous, long-term ECG monitoring (up to 14 days) to detect intermittent arrhythmias, especially in patients with a high risk of new-onset atrial fibrillation. EchoNext would be chosen for analyzing standard 12-lead ECGs to screen for hidden structural heart diseases like heart failure, valve disease, and pulmonary hypertension, particularly when an echocardiogram might not be routinely performed.
For AT-Patch, the learning curve involves understanding how to properly attach the wearable device, instructing patients on using the AT-Note app for symptom recording, and utilizing the AT-Report software for ECG data analysis. EchoNext's integration with the OpenEvidence platform suggests a potentially smoother learning curve for physicians already familiar with that clinical decision support system, as it focuses on submitting existing ECGs for AI analysis.
While the provided information does not explicitly detail audit-trail features for AT-Patch, its on-premise analysis software (AT-Report) would likely offer some level of data logging. For EchoNext, its integration into a clinical decision support platform like OpenEvidence suggests the potential for tracking how its AI-generated risk scores are utilized by physicians and their impact on subsequent diagnostic steps, such as ordering echocardiograms.
For AT-Patch, multi-site rollout would involve distributing the wearable devices, installing the AT-Report software at each institution, and training staff on its use and the patient app. EchoNext, being available through the OpenEvidence platform, is designed for broad access from major hospitals to community practices, suggesting a more streamlined rollout across multiple sites due to its existing platform integration.
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