What is the significance of the new AI system at Gauhati Medical College?

The new AI system is the world's first contactless remote patient monitoring system and makes Assam the first Indian state to operationalize an AI-driven hospital model in its public healthcare system.

How does the AI-based monitoring system improve patient care?

The AI system enables continuous, non-intrusive monitoring of vital parameters, facilitating early risk detection, real-time clinical insights, and faster, more accurate medical decision-making, while enhancing patient safety and infection control.

What is Lord's Mark Industries Ltd's role in this initiative?

Lord's Mark Industries Ltd has deployed the world's first contactless, AI-based remote patient monitoring system, collaborating with the Government of Assam to transform public healthcare delivery towards predictive, AI-led models.

Home / Health / Assam Leads India with AI-Powered Remote Patient Monitoring

Assam Leads India with AI-Powered Remote Patient Monitoring

10 Feb

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Summary

India's first AI-driven hospital model launched in public healthcare.
Contactless remote patient monitoring system installed at GMCH.
System enables early risk detection and faster medical decisions.

Assam Leads India with AI-Powered Remote Patient Monitoring

India's public healthcare is undergoing a significant transformation with the introduction of the world's first AI-based, contactless remote patient monitoring system at Gauhati Medical College and Hospital (GMCH). This innovative technology has been installed in a step-down ICU ward within the newly established medical college complex.

The initiative, inaugurated by the Chief Minister of Assam, Shri Himanta Biswa Sarma, positions Assam as a national leader in AI-enabled clinical care. The deployment marks Assam as the first Indian state to operationalize an AI-driven hospital model within its public healthcare system.

This AI system continuously monitors vital patient parameters without physical contact. It facilitates early risk detection, provides real-time clinical insights, and supports quicker, more accurate medical decision-making. The technology enhances patient safety and infection control, particularly in high-dependency care settings.