India launches SAHI and BODH initiatives to advance safe AI in healthcare at AI Impact Summit

India Unveils Framework for Safe and Ethical AI in Healthcare

Union Health Minister JP Nadda launched two groundbreaking digital health initiatives at the India AI Impact Summit 2026 held at Bharat Mandapam in New Delhi. The SAHI and BODH initiatives represent India's commitment to advancing safe and ethical AI deployment across its healthcare ecosystem 1

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. The India AI Impact Summit, taking place from February 16 to 20, 2026, marks the first-ever global AI summit hosted in the Global South, bringing together policymakers, industry experts, and innovators to explore AI's transformative potential 3

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SAHI: A Governance Framework for Responsible AI Transformation in Healthcare

The Secure AI for Health Initiative (SAHI) establishes a comprehensive governance framework and policy compass for AI in healthcare. Nadda described SAHI as more than a technology strategy, emphasizing its role in guiding India toward ethical, transparent, and accountable AI use 1

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. The strategy document addresses AI applications ranging from low-risk operations like record-keeping to high-impact uses influencing clinical decision-making, diagnosis, treatment, and patient triage 4

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. SAHI provides 32 specific recommendations across five pillars, ensuring that liability is appropriately allocated among developers, deployers, and users based on technical and clinical considerations assessed case-by-case 4

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. The Union Health Ministry emphasized that the Digital Personal Data Protection Act provides the legal basis for personal data use, while the National Health Authority's Health Data Management Policy guides healthcare-specific applications 4

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BODH Platform Enables Rigorous Testing of AI-Driven Healthcare Solutions

The Benchmarking Open Data Platform for Health AI (BODH) provides a structured mechanism for testing and validating AI solutions before deployment at scale. Manindra Agrawal, Director of IIT Kanpur, explained that BODH collects and secures medical data, allowing developers to train models on-site without direct access to sensitive information 4

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. National Health Authority CEO Sunil Kumar Barnwal stated that BODH addresses the challenge of AI providers claiming 98% or 99% efficacy by enabling trustworthy third-party evaluation against real-world healthcare data 4

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. Union Health Secretary Punya Salila Srivastava emphasized that BODH ensures AI tools used by clinicians are safe, reliable, and validated before deployment, with trust, safety, and accountability remaining central to India's health-AI journey 1

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Building on a Decade of Digital Health Infrastructure

Nadda emphasized that AI thrives on strong digital infrastructure and high-quality data, noting that India began laying digital foundations over 10 years ago. The government launched the Digital India programme in 2015 under Prime Minister Narendra Modi's leadership to transform the country into a digitally-empowered society 1

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. The National Health Policy 2017 envisioned creating a comprehensive digital health ecosystem that is interoperable, inclusive, and scalable 1

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. The Ayushman Bharat Digital Mission, launched in 2020, has evolved into robust digital public infrastructure for health, with over 859 million ABHA accounts linked to more than 878 million health records 3

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. E-Sanjeevani, powered by AI-assisted Clinical Decision Support Systems, has enabled over 449 million teleconsultations through more than 2.2 lakh registered healthcare providers, making it the world's largest telemedicine initiative in primary care 3

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Industry Leaders Highlight India's Strategic Position in AI Transformation in Healthcare

Roy Jakobs, CEO of Royal Philips, stated that healthcare is at an inflection point globally, with India representing a remarkable opportunity in this AI transformation in healthcare 2

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. Jakobs noted that India is uniquely positioned to lead this change, armed with its scale, digital infrastructure, and ambition. He emphasized that initiatives like the Ayushman Bharat Digital Mission are laying the groundwork for interoperability and continuity of care at population scale—exactly the foundation AI needs to deliver meaningful impact 2

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. However, Jakobs cautioned that healthcare runs on trust and stressed the need for a responsible AI ecosystem operating within evolving regulatory frameworks, with human oversight remaining central and AI systems being transparent, continuously validated, and protecting patient data rigorously 2

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Accelerating Universal Health Coverage Through AI Integration

Dr. V K Paul, Member (Health) at NITI Aayog, emphasized that AI presents a strategic opportunity to accelerate progress towards universal health coverage 5

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. Given India's scale, diversity, and dual burden of communicable and non-communicable diseases, technology-driven, evidence-based interventions are essential to strengthen service delivery and improve health outcomes. Paul highlighted that AI can significantly enhance primary care, enable early diagnosis, strengthen disease surveillance, and support data-driven policy formulation 5

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. He called for sustained collaboration between government, academia, and industry to develop scalable, affordable, and indigenous AI solutions capable of delivering measurable impact at population scale, while maintaining robust regulatory frameworks and ethical safeguards 5

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Transforming Drug Discovery and Clinical Workflows

Nadda underlined the transformative potential of AI in pharmaceuticals and life sciences, noting that AI-driven tools can accelerate drug discovery, shorten research timelines, enhance clinical-trial precision, and make research processes more cost-effective, thereby strengthening affordable healthcare delivery 1

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. The minister also highlighted the critical role of academic institutions in developing a future-ready healthcare AI workforce through collaboration with government. India's private healthcare ecosystem is already deploying AI across various workflows, from administrative operations to clinical applications 4

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. With more than 1.80 lakh Ayushman Arogya Mandirs operational across the country, digital platforms are being integrated at the primary care level, creating opportunities for AI to support clinicians and nurses in making faster, better decisions 3

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. The initiatives ensure that innovation flourishes while public interest and patient safety remain paramount, with interoperable systems enabled across platforms and large-scale, consent-based health-data frameworks being developed to empower citizens while ensuring data privacy and security 1

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