India Launches iLive Connect, World’s 1st Doctor-led AI Healthcare Ecosystem

iLive Connect integrates advanced AI-powered predictive analytics with real-time clinical oversight by specialized doctors at a dedicated medical command center.

India has officially launched iLive Connect, heralded as the world’s first doctor-led AI healthcare ecosystem designed to bring continuous clinical monitoring and early-intervention care directly into patients’ homes.

The new device aims to reduce the gap between chronic disease management and post-hospital care in remote areas, particularly for elderly patients and people with chronic illnesses.

At its core, iLive Connect integrates advanced AI-powered predictive analytics with real-time clinical oversight by specialized doctors at a dedicated medical command center.

The AI system combines wearable medical-grade biosensors, a patch worn on the chest paired with a wristband, that continuously track vital health parameters, including ECG, heart rate, respiratory rate, oxygen saturation (SpO₂), body temperature, blood pressure trends, physical activity, and heart rate variability.

This data is transmitted in real time via a secure cloud platform to a central medical command center staffed 24/7 by specialised doctors.

At the sight of any potential risk, doctors at the command center immediately notify the patients and their families, providing clear and immediate instructions for the next steps.

Highlight the significance of the device, Dr. Rahul Chandola, founder of iLive Connect and a cardiothoracic surgeon, said, “Unlike traditional monitoring systems that respond only after symptoms appear, this system uses AI-driven predictive analytics to detect subtle physiological changes that may indicate the onset of disease well before clinical symptoms develop.”

Dr. Viveka Kumar, Co-Founder at iLive Connect, explained that if a patient does not get sufficient sleep over a certain period, the system can precisely track how many hours of sleep were missed on specific days.

Such detailed analysis of minute health data is expected to help anticipate medical emergencies and minimize the need for repeated hospital admissions.

The AI system, in a 10-week observational study involving 410 patients, has reportedly shown a 76% reduction in hospital readmissions, particularly through early identification of complications related to cardiac conditions, blood pressure instability, metabolic disorders, and post-discharge issues.

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