A newly deployed iLive Connect system in India brings ICU-level monitoring into patients’ homes, using a wearable chest patch and wristband to continuously track vital signs and transmit data to a central medical command centre in real time.

Key health metrics tracked include two-lead ECG, heart rate, respiratory rate, oxygen saturation, body temperature, blood pressure trends, physical activity, and heart rate variability, with all data securely uploaded to a cloud-based platform.

The FDA- and CE-approved device is described by experts as the world’s first doctor-led AI healthcare ecosystem that combines continuous monitoring with AI analytics to support clinicians.

The initiative emphasizes proactive management of chronic conditions through continuous data collection and AI-driven analysis to aid clinical decision-making.

Clinicians say the system enables precise monitoring of sleep and other fine health data to prevent emergencies and hospital readmissions, especially after discharge.

Development took more than two years, with a focus on continuous monitoring, predictive analytics, and rapid medical intervention to prevent deterioration.

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Dr. Rahul Chandola emphasizes predictive monitoring that detects illnesses early and reduces hospitalisations.

The platform is presented as a physician-led effort within a broader AI healthcare ecosystem, highlighting medical professional leadership.

A 10-week observational study involving over 410 patients reported a 76% reduction in readmissions due to early risk detection, with strong benefits for seniors living alone, those with chronic illnesses, and recently discharged patients.

The system aims to cut hospitalisations and prevent emergencies by detecting deterioration early and enabling proactive, doctor-supervised care.

Overall, the approach seeks ICU-like monitoring at home to reduce hospital visits, particularly for seniors and recently discharged or chronically ill patients.