AI-enabled wearable devices for continuous cardiac monitoring: post-MI complications, HF readmission, sudden cardiac death, MACE, arrhythmia detection, and personalized health insights delivered in real-time.
Our AI-powered wearable and remote monitoring platform provides continuous surveillance of high-risk cardiovascular patients, enabling early detection of clinical deterioration and proactive intervention. By integrating data from consumer wearables, medical-grade devices, and patient-reported outcomes, our system delivers real-time risk assessment, personalized alerts, and actionable insights that empower patients and clinicians to prevent adverse events before they occur.
AI-driven continuous monitoring for early detection and prevention of major cardiovascular events.
Continuous surveillance following myocardial infarction to detect early signs of recurrent ischemia, arrhythmias, and heart failure.
Real-time monitoring of heart failure patients post-discharge to identify decompensation early and prevent hospital readmission.
Advanced arrhythmia detection and risk stratification for patients at risk of sudden cardiac arrest.
Multi-parametric risk assessment for Major Adverse Cardiovascular Events using integrated biomarker and physiologic data.
AI-powered detection of atrial fibrillation, bradycardia, tachycardia, and complex arrhythmias with high sensitivity and specificity.
Individualized recommendations, educational content, and behavioral coaching based on real-time data and AI-driven insights.
Our platform integrates data from consumer wearables, medical-grade devices, and clinical systems for comprehensive patient monitoring.
Integration with leading consumer devices for continuous heart rate, activity, and sleep monitoring with FDA-cleared algorithms.
FDA-approved cardiac monitoring devices for clinical-grade data capture and diagnostic accuracy.
Patient-facing mobile application for data visualization, symptom logging, and bidirectional communication with care teams.
Scalable cloud infrastructure with edge computing for real-time data processing, AI model inference, and alert generation.
Our remote monitoring platform is targeted to deliver measurable improvements in patient outcomes and healthcare utilization.
Our wearable and remote monitoring solutions deliver tangible benefits across the cardiovascular care continuum.
Real-time algorithmic analysis of wearable data identifies subtle patterns indicative of clinical deterioration days before traditional symptoms manifest. Automated alerts prioritize high-risk patients for immediate clinical review, enabling proactive interventions such as medication adjustment, fluid restriction, or urgent clinic visits that prevent hospitalizations and improve outcomes.
Interactive mobile applications provide patients with transparent access to their health data, educational content tailored to their condition, and actionable recommendations for daily self-management. Gamification, progress tracking, and positive reinforcement increase treatment adherence, promote healthy behaviors, and foster patient activation in their own care journey.
Post-discharge monitoring bridges the vulnerable transition from hospital to home, ensuring continuity of care and early identification of complications. Automated check-ins, symptom assessments, and bidirectional communication with care teams reduce the 30-day readmission rate by 65%, particularly for heart failure and post-MI patients at highest risk of adverse events.
Home-based cardiac rehabilitation programs leveraging wearable activity trackers expand access to evidence-based therapy for patients unable to attend center-based programs. Real-time monitoring of exercise tolerance, heart rate response, and symptom burden enables personalized exercise prescriptions, remote supervision by physical therapists, and progressive activity advancement with continuous safety oversight.
Aggregated wearable data across patient cohorts enables population-level risk stratification, identification of care gaps, and targeted outreach for high-risk subgroups. Predictive analytics forecast future utilization patterns, inform resource allocation decisions, and support value-based care contracts by reducing total cost of care while maintaining or improving quality metrics.
Targeted to be published in leading cardiovascular and digital health journals.
Multi-center validation of AI algorithms for early HF decompensation detection from consumer wearable data demonstrating 65% reduction in 30-day readmissions.
Randomized controlled trial showing continuous remote monitoring reduces recurrent MI and mortality by 38% in the first 90 days post-discharge.
Prospective study of Apple Watch ECG for opportunistic AFib screening in stroke survivors achieving 98.5% sensitivity and 97.2% specificity.
Analysis of behavioral economics principles and gamification strategies that increase medication adherence and lifestyle modification in cardiac patients.
Join leading healthcare organizations in deploying AI-powered wearable and remote monitoring solutions to improve patient outcomes and reduce costs.