स्वास्थ्य एवं परिवार कल्याण मंत्रालय 
Measures taken by the government to use AI in the public health system
AIIMS Delhi, PGIMER Chandigarh and AIIMS Rishikesh designated as ‘Centres of Excellence for Artificial Intelligence’ with an aim to promote development and use of AI based solutions in Health
Media Disease Surveillance (MDS), supporting event-based surveillance for infectious diseases put in use; over 4,500 event alerts published, contributing to timely prevention and mitigation of disease outbreaks
Clinical Decision Support System’ (CDSS) integrated into eSanjeevani to enhance consultation quality and providing AI-based differential diagnosis recommendations
Cough against TB, an AI solution being used for screening for pulmonary TB in the community settings; aiding in reporting missing cases
AI solution, ‘Prediction of Adverse TB Outcomes’ deployed; 27% decline in adverse outcomes reported since deployment
The Ministry of Health and Family Welfare (MoHFW) is leveraging artificial intelligence (AI) to drive transformative change in public health services across India. The Ministry has designated AIIMS Delhi, PGIMER Chandigarh and AIIMS Rishikesh as ‘Centre of Excellence for Artificial Intelligence’ with an aim to promote development and use of AI based solutions in Health. MoHFW has developed AI solution like Clinical Decision Support System (CDSS) in e-Sanjeevani, Media Disease Surveillance Solution in IDSP, Diabetic Retinopathy Identification solution and the Abnormal Chest X-ray Classifier Model and various others are in early stages.
‘Media Disease Surveillance’ (MDS) is an AI-driven tool that has been supporting event-based surveillance for infectious diseases since April 2022. This tool scans digital news sources across the country and shares relevant information with districts for early action and response. Since April 2022, it has published over 4,500 event alerts, contributing to the timely prevention and mitigation of disease outbreaks, thereby reducing mortality and morbidity.
The ‘Clinical Decision Support System’ (CDSS), an AI solution has been integrated into the national telemedicine platform, eSanjeevani, to enhance consultation quality by streamlining patient complaints entry and providing AI-based differential diagnosis recommendations. Since CDSS integration, 196 million eSanjeevani consultations benefitted from standardized data capture, ensuring consistency across health and wellness centres and 12 million consultations have been aided by AI-recommended diagnoses, allowing doctors to make informed decisions.
Under the Tuberculosis elimination program, ‘Cough against TB’ AI solution is used for screening for pulmonary TB in the community settings. In the deployed geographies, the solution has shown an additional yield of 12-16% in TB reported, which may have been missed if patients were screened using conventional methods.
The ‘Prediction of Adverse TB Outcomes AI Solution’ helps in predicting TB patients who have a high chance for going for adverse outcomes as soon as the patient is initiated on treatment. 27% decline in adverse outcomes is reported after deployment of the AI Solution.
Sector-specific measures to enhance the use of AI in healthcare are thus duly being taken by the Ministry.
The Union Minister of State for Health and Family Welfare, Shri Prataprao Jadhav stated this in a written reply in the Lok Sabha today.
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HFW/Measures taken by the govt to use AI in public health system /21March 2025/1
