Assam Chief Minister Dr Himanta Biswa Sarma on Sunday led a major step towards modernising the state’s public healthcare system with the launch of AI-powered, contactless patient monitoring technology at Gauhati Medical College and Hospital (GMCH). The initiative positions Assam as one of the first states in India to operationalise AI-driven hospital solutions within the public healthcare framework.
The advanced system has been developed and deployed in partnership with Lord’s Mark Industries Ltd, which has been onboarded as a strategic technology partner by the state government. Installed in a step-down Intensive Care Unit (ICU) ward of the newly inaugurated GMCH complex, the AI-based solution enables continuous, real-time monitoring of patients without physical contact, helping doctors detect early warning signs and respond swiftly to medical emergencies.
Speaking at the launch, the Chief Minister said the integration of artificial intelligence into government hospitals reflects Assam’s commitment to strengthening healthcare infrastructure through innovation and technology. He noted that AI-enabled monitoring would enhance patient safety, reduce the burden on healthcare workers and improve clinical outcomes by enabling predictive and data-driven decision-making.
Officials explained that the system uses advanced sensors and algorithms to track vital parameters round-the-clock, alerting medical staff in case of abnormalities. This is expected to be particularly beneficial in critical care settings, where timely intervention can significantly improve survival rates.
Lord’s Mark Industries Ltd said the partnership with the Assam government marks a shift from conventional, reactive healthcare to a predictive and proactive care model, supported by artificial intelligence. The company’s leadership highlighted that the technology is designed to support doctors and nurses with actionable insights, rather than replace clinical judgement.
The initiative forms part of the Assam government’s broader push towards digital health and smart governance, with officials indicating that similar AI-driven systems may be expanded to other medical colleges and district hospitals in the future. If successfully scaled, the model could serve as a blueprint for AI adoption in public healthcare across the country.
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