2025
"Research is the distance between an idea and its realization."
- David Sarnoff
Validating Voice-to-Discrete-Data (V2DD) Models
Complementing the prAImaan project, Validating Voice-to-Discrete-Data (V2DD) models also better known as AI scribes focuses on evaluating AI systems that assist in converting doctor–patient conversations into structured digital health records. The initiative aims to build large-scale, multilingual datasets across Indian languages and English, grounded in real-world clinical interactions.
V2DD develops standardized benchmarks to assess transcription accuracy, clinical relevance, reliability, and interoperability with health information systems. Through transparent benchmarking and public leaderboards, V2DD enables fair comparison of voice-based clinical AI tools and ambient scribes. Together, prAImaan and V2DD strengthen trust, accountability, and safe adoption of AI in Indian healthcare.
