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| Trust, diversity and inclusion: AI in healthcare | | | Early Times Report
JAMMU, Mar 5: Artificial Intelligence is transforming the healthcare sector in various innovative ways. AI-based tools can diagnose and predict diseases, streamline clinical practices, improve hospital management, assist in drug discoveries and aid in healthcare research. However, integration of AI in healthcare is not without its obstacles and challenges. There is a significant lack of diverse and representative data informing many AI-driven tools, which can reduce their accuracy and reinforce biases against certain populations. Across multiple discussions on artificial intelligence, a clear consensus has emerged: while AI has the potential to revolutionise healthcare, its development and deployment must remain patient-centered. It should expand equitable and affordable access to care, be trained on diverse and inclusive datasets, and be grounded in transparency and trust.
To encapsulate these principles, the Ministry of Health and Family Welfare released the Strategy for AI in Healthcare for India (SAHI) during the recently held India AI Impact Summit in New Delhi. SAHI sets out a national framework to guide the responsible integration of AI into India's health system. It recognises AI as a strategic enabler of health system strengthening, while affirming that its adoption must be anchored in public interest, trust, and long-term system resilience. The various discussions held during the Summit also highlighted the importance of diversity in data, and accountable and trustworthy AI systems, along with the importance of using AI for public good.
Strategy for AI in Healthcare for India (SAHI)
SAHI works as a recommendatory national framework on the way AI can be integrated into healthcare services.
Launched as a national framework, SAHI outlines a structured roadmap for integrating AI into healthcare delivery across India. It seeks to guide policymakers, healthcare providers, and technology developers on the responsible adoption of AI, ensuring innovation is aligned with clinical needs, regulatory standards, equity considerations, and public trust.
SAHI makes inclusive development its main goal - emphasising the necessity of using this frontier technology for the purpose of public good and creating a Viksit Bharat 2047. The strategy recognises AI's transformative role and potential in making healthcare more accessible, timely, high-quality and affordable, envisioning it both as a powerful innovative force as well as an enabler for improving public health. It seeks to establish trusted, risk-proportionate governance and robust digital and data foundations to ensure the safe, ethical, and accountable use of AI at scale. It also aims to build a future-ready health workforce and institutions, while fostering a sustainable and inclusive AI-for-health ecosystem that advances equity, quality, efficiency, and public trust.
The framework's 5 core pillars address governance and evidence generation standards; safe, ethical, robust and transparent digital and data infrastructure; and workforce readiness.
BODH (Benchmarking Open Data Platform for Health AI)
BODH, also launched during the Summit, provides a structured mechanism for testing and validating Health AI solutions before deployment at scale. It will play a critical role in ensuring that AI tools used by clinicians are safe, reliable, and validated against real-world parameters before deployment. Trust, safety, and accountability must remain central to India's health AI journey. It was developed by the Indian Institute of Technology Kanpur in collaboration with the National Health Authority. |
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