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IndiaAI Mission and NHA felicitate Winners of AB PM-JAY Auto-Adjudication Hackathon

Published: May 14, 2026

By TIOLCorplaws News Service

NEW DELHI, MAY 14, 2026: THE IndiaAI Mission in collaboration with the National Health Authority (NHA) and the Indian Institute of Science (IISc), Bengaluru, felicitated the winners of the AB PM-JAY Auto-Adjudication Hackathon Showcase 2026 at IISc Bengaluru on May 9, 2026, marking the conclusion of a two-day national showcase of AI-driven innovation in public health insurance.

Organised in collaboration with the NHA and IISc Bengaluru, the hackathon focused on developing solutions to improve speed, transparency and accuracy in claims adjudication, while strengthening fraud detection as well.

Sunil Kumar Barnwal, CEO, National Health Authority; Abhishek Singh, Director General, National Testing Agency, Jyoti Yadav, Joint Secretary, NHA and Shikha Dahiya, Joint Director, MeitY, felicitated innovators whose solutions have the potential to transform AI-driven adjudication of  claims.

The hackathon invited solutions across three high-impact problem statements critical to the adjudication of claims under Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB PM-JAY),  one of the world's largest publicly funded health assurance programmes. AB PM-JAY processes a large number of claims daily across 1,900+ treatment packages.

Hackathon Winners

Problem Statement 1: Clinical Document Classification & STG Compliance

Automatically reading mixed-quality healthcare documents, extracting key data, detecting mandatory visual elements and checking compliance with Standard Treatment Guidelines (STG) provided by NHA.

- Winner: Vinay Babu Ulli

- Runner-Up: Khushi Singh

- Second Runner-Up: Vijay Balaji

Problem Statement 2: Radiological Image-Based Condition Detection & Report Correlation

Validating image-based investigations such as X-rays, CT scans and MRIs submitted as evidence under STGs, comparing them with reports to adjudicate claims accurately and efficiently.

- Winner: Harish Kumar

- Runner-Up: Bharath Varma Sangaraju

- Second Runner-Up: Arnold Sachith

Problem Statement 3: Document Forgery & Deepfake Detection

Detecting forged or synthetically generated documents including tampered discharge summaries, manipulated bills, ghost identities and AI-generated artefacts at the point of claim submission.

- Winner: Praveen Sridhar

- Runner-Up: Nikhileswara Rao Sulake

- Second Runner-Up: Sumanth Naidu Mathireddy

Winning teams received cash prizes of Rs.5 Lakh, Rs.3 Lakh and Rs.2 Lakh, respectively. Officials said selected solutions could be considered for future deployment within the AB PM-JAY ecosystem.

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