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Health Ministry Harnesses Artificial Intelligence to Revolutionise Public Healthcare in India

 The Ministry of Health and Family Welfare (MoHFW) is embracing artificial intelligence (AI) to bring transformative advancements in public health services across India. Union Minister of State for Health and Family Welfare, Prataprao Jadhav, shared this development in a written reply in the Lok Sabha, highlighting the government’s commitment to integrating cutting-edge technology in healthcare delivery and disease management.


As part of this initiative, the Ministry has designated premier medical institutions — AIIMS Delhi, PGIMER Chandigarh, and AIIMS Rishikesh — as Centres of Excellence for Artificial Intelligence. These centers aim to promote the development and deployment of AI-based solutions to address various healthcare challenges.

Several AI solutions are already being developed and deployed. Among them is the Clinical Decision Support System (CDSS), which has been integrated into the national telemedicine platform eSanjeevani. This AI tool assists doctors by streamlining patient data entry and offering AI-generated differential diagnosis recommendations. Since its integration, over 196 million eSanjeevani consultations have benefitted from standardized data capture, and 12 million consultations have utilized AI-supported diagnostic suggestions, enabling doctors to make more informed and consistent decisions across health and wellness centers.

Another significant innovation is the ‘Media Disease Surveillance’ (MDS) tool, an AI-powered platform that has been supporting event-based infectious disease surveillance since April 2022. This tool scans digital news sources across India, identifying potential disease outbreaks and alerting district health authorities for early intervention. Since its launch, MDS has issued more than 4,500 event alerts, contributing to timely responses and helping reduce mortality and morbidity linked to infectious diseases.

The Ministry is also using AI in its fight against tuberculosis (TB). The ‘Cough against TB’ AI solution has been deployed in community settings to screen for pulmonary TB. The tool has demonstrated an additional detection yield of 12–16%, capturing cases that might have otherwise been missed through traditional screening methods. Additionally, the ‘Prediction of Adverse TB Outcomes’ AI solution identifies patients at high risk of poor treatment outcomes at the start of their treatment, leading to proactive interventions. Since its deployment, a 27% decline in adverse TB outcomes has been reported in the regions where the tool is operational.

These efforts signal the Ministry’s focused approach toward leveraging AI to enhance healthcare delivery, disease prediction, and prevention mechanisms in the country. The government is actively taking sector-specific measures to expand the use of artificial intelligence in healthcare and continue driving innovation in public health services.





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