Why in news?
The National Health Authority recently announced two programmes – the Strategy for Artificial Intelligence in Healthcare for India (SAHI) and the Benchmarking Open Data Platform for Health AI (BODH). SAHI is a framework to encourage safe, ethical adoption of artificial intelligence in public health care, while BODH is a platform for evaluating AI models using anonymised Indian health datasets. These initiatives signal India’s commitment to building a responsible AI ecosystem in healthcare.
Background
Artificial intelligence has enormous potential to improve diagnostics, treatment, and public health planning. However, health data is sensitive and requires strict safeguards. SAHI aims to provide guidance to hospitals, developers, and policymakers on how to build AI tools that are safe, equitable, and scientifically sound. BODH complements this by creating a secure environment where AI algorithms can be tested against real‑world data without exposing patients’ identities. The National Health Authority and the Indian Institute of Technology (IIT) Kanpur are spearheading these efforts.
Key features
- Governance framework: SAHI sets out guiding principles on ethics, privacy, transparency and accountability for AI projects in healthcare. It encourages algorithms that are fair to diverse populations and requires regular audits to detect biases.
- BODH platform: Developed by IIT Kanpur, BODH allows AI developers to benchmark their models using de‑identified datasets from India’s public health system. The platform runs the algorithms within a secure “sandbox,” so data never leaves the system.
- Collaborative ecosystem: The initiatives invite participation from hospitals, start‑ups, universities and industry partners. By sharing evaluation results on BODH, developers can compare models and improve performance.
- Inclusive vision: SAHI emphasises ensuring that AI tools address the needs of rural and marginalised communities, not just urban tertiary hospitals. This includes considering languages, literacy levels and infrastructure constraints.
These programmes together aim to build trust among patients and clinicians and to accelerate innovation while protecting rights and privacy.
Source: Press Information Bureau
