AYU 2.0: AI for Clinical Care Assistance Gets Smarter!
Ayu 2.0 is Intelehealth’s clinical decision support system — an evidence-based tool designed to support frontline providers at the point of care, precisely when and where it matters most.
Built with over 250+ structured clinical protocols, Ayu 2.0 guides health workers through systematic patient history capture and connects that information to real-time clinical decision-making by the consulting doctor.
This year, Ayu 2.0’s AI capabilities were substantially enhanced:
TOWARDS PRODUCTION-GRADE USAGE
AI-CDSS moved from study readiness toward production-grade usage, including Differential Diagnosis(DDx), Treatment Plan(TTx), Patient Story, and safety validation processes.
BETTER DATA QUALITY
Enabled structured, machine-readable clinical data collection — improving data quality and consistency across deployments.
EASIER CONVERSION PIPELINE
Reduced protocol maintenance overhead through a generic, automated conversion pipeline.
MAKING AYU SCALABLE
Established a scalable foundation for converting 250+ protocols without rebuilding rendering logic each time.
As per our latest study conducted in Nashik, with the help of AI:
- – Diagnostic accuracy improved by 12.5 percentage points.
- – Consultation time reduced by 47%.
- – Prescribing safety of the treatment (TTx) improved by 54% (indicating fewer dosage errors, drug interactions, and unnecessary duplications).
- – Of the AI-generated diagnostic suggestions, 90.8% were rated ‘very appropriate’ by independent clinical evaluators.
- – Differential Diagnosis evaluation reached approximately 93% Top-5 accuracy in benchmarked testing.
- – Under Treatment Planning, AI-assisted plans were deemed to be more complete consistently including lifestyle advice, follow-up, and investigations alongside medications.
- – Early audio or speech processing work showed approximately 74% high-quality transcript output.
