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India's Health AI Push: Diverse Data Testing Key Before Deployment, Says NHA CEO

The National Health Authority CEO emphasized that AI models for healthcare must undergo rigorous testing on large, diverse population datasets to ensure accuracy and build public trust before deployment. He highlighted federated AI systems as a way to innovate while protecting sensitive health data through privacy-preserving techniques. The discussion took place at a health AI hackathon, with experts stressing the need for context-ready solutions that reflect India's demographic diversity. Other leaders underscored the importance of indigenous AI models and robust digital public infrastructure for a secure and scalable health data ecosystem.

Key Points: Health AI Needs Diverse Population Testing Before Use: NHA CEO

  • Test AI on diverse population data
  • Use federated systems to protect privacy
  • Build indigenous open-source AI models
  • Ensure digital health infrastructure is secure
  • Scale innovation without centralizing sensitive data
2 min read

AI systems must be tested on diverse, population-scale datasets before deployment: NHA CEO

NHA CEO Dr Sunil Kumar Barnwal stresses testing AI models on large, diverse datasets for trust & inclusion in India's healthcare digital push.

"AI solutions must be context-ready and reflect India's demographic and regional diversity. - Dr Sunil Kumar Barnwal"

New Delhi, Jan 25

Artificial intelligence models in healthcare must be tested on large and diverse population datasets before being deployed on the ground to ensure trust, accuracy and inclusion, National Health Authority Chief Executive Officer Dr Sunil Kumar Barnwal, said on Sunday.

Speaking at the Federated Intelligence Hackathon on Health AI, organised as a pre-event to the India AI Impact Summit 2026 at IIT Kanpur, Dr Barnwal said India is now moving from experimentation to building benchmarked and reliable AI models for healthcare.

He stressed that federated and consent-driven AI systems allow innovation to scale without centralising sensitive health data, thereby protecting privacy and strengthening public trust.

Referring to Ayushman Bharat Pradhan Mantri Jan Aarogya Yojana (AB PM-JAY) and the Ayushman Bharat Digital Mission (ABDM), he said AI solutions must be context-ready and reflect India's demographic and regional diversity.

The national-level hackathon was organised by the National Health Authority in collaboration with the ICMR-National Institute for Research in Digital Health and Data Science (NIRDHDS) and IIT Kanpur.

It was held from January 19 to January 24, 2026, with a focus on developing secure, privacy-preserving and scalable Digital Public Goods for Health AI.

The inaugural session also saw addresses by Prof Sandeep Verma, Head of the Gangwal School of Medical Sciences and Technology, IIT Kanpur Director Manindra Agrawal, and Ritu Maheshwari, Secretary, Medical Health and Family Welfare and State Mission Director, ABDM-Uttar Pradesh.

The speakers highlighted the growing role of technology, research institutions and governments in shaping India's digital health ecosystem.

Dr R S Sharma, Distinguished Visiting Professor at IIT Kanpur and former CEO of the National Health Authority, said Digital Public Infrastructure and interoperable Digital Public Goods are key to building secure, scalable and citizen-centric health data systems.

He underlined that such frameworks ensure both innovation and accountability. Vivek Raghavan, CEO and Co-founder of SarvamAI, spoke about the importance of India's layered digital health architecture in enabling AI-driven healthcare at both population and individual levels.

He said high-quality data, strong privacy safeguards and security are essential for effective AI adoption.

He also stressed the need for indigenous, open-source AI models to ensure local AI sovereignty and reduce dependence on external systems.

- IANS

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Reader Comments

R
Rohit P
Finally, someone is talking about local AI sovereignty! We can't rely on foreign models for our healthcare. Open-source, indigenous models are the way forward. Jai Hind!
D
David E
As someone working in tech, the emphasis on federated systems is crucial. Centralizing health data is a massive security risk. India seems to be thinking about this the right way from the start.
A
Anjali F
Good points, but testing on "population-scale datasets" is easier said than done. We have digital divides - rural areas, older generations. Hope they include *all* of Bharat, not just urban digital footprints.
K
Karthik V
ABDM and Ayushman Bharat are laying a strong foundation. If AI can help predict disease outbreaks in specific districts or personalize treatment, it will be a game-changer for public health. Exciting times!
S
Sarah B
The collaboration between IIT, NHA, and ICMR is impressive. Bringing top academic and government minds together is how real, scalable solutions are built. Trust and accuracy are non-negotiable in healthcare AI.

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