AT-Patch (ATP-C130/ATP-C70) vs AHI System
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.
AI Verdict
AT-Patch is an ambulatory ECG monitor focused on long-term arrhythmia detection via a wearable device and integrated AI analysis. In contrast, the AHI System is a software-only solution providing real-time predictive analytics for hemodynamic instability in critical care settings. While both utilize ECG signals and AI in cardiology, they address different clinical problems and are deployed in distinct environments.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Frequently Asked Questions
AT-Patch (Tool A) is an ambulatory ECG monitor designed for continuous cardiac monitoring, primarily for arrhythmia detection over an extended period, up to 14 days. The AHI System (Tool B) is an AI-powered software focused on real-time predictive analytics for hemodynamic instability, aiming to detect patient deterioration hours before vital signs.
The AT-Patch involves a wearable device for the patient, with its analysis software deployed on-premise at medical institutions. The AHI System is a software-only device that integrates with existing hospital IT infrastructure and patient monitoring platforms, such as Sickbay, without requiring additional hardware.
The AT-Patch records continuous ECG data, with models offering up to 14 days of monitoring, and uses AI/machine learning for ECG analysis. The AHI System specifically utilizes continuous Lead II ECG signals for its real-time predictive analytics.
AT-Patch is suitable for outpatients requiring long-term continuous cardiac monitoring for suspected arrhythmias or transient symptoms like palpitations. The AHI System is intended for in-hospital patients aged 18 or older who are receiving continuous physiological monitoring with ECG, particularly in critical care, emergency, and hospital medicine settings.
AT-Patch uses AI/machine learning algorithms within its AT-Report software for ECG analysis and enhanced arrhythmia detection. The AHI System is an AI-powered software that provides real-time predictive analytics to detect early signs of hemodynamic instability.
The AT-Patch is a wearable device that patients apply, and it can be used with a smartphone app (AT-Note) for live ECG viewing and symptom recording. The AHI System is a software-only device that integrates with existing monitoring platforms, meaning there is no direct patient interaction with the tool itself.