NHA recognises winners of AB PM-JAY hackathon for AI-based healthcare claims solutions

India's National Health Authority named nine winning teams from a two-day AI hackathon on May 11, drawing 3,500+ participants to tackle claims processing for AB PM-JAY. The program handles roughly 50,000 claims daily.

Categorized in: AI News Healthcare
Published on: May 11, 2026
NHA recognises winners of AB PM-JAY hackathon for AI-based healthcare claims solutions

NHA Recognizes AI Solutions for Healthcare Claims Processing

The National Health Authority concluded its auto-adjudication hackathon on May 11, recognizing nine winning teams across three categories of AI for Healthcare solutions. The two-day showcase drew more than 3,500 participants competing to build systems that speed up claims processing, reduce manual review work, and detect fraud within India's largest public health insurance program.

AB PM-JAY processes roughly 50,000 claims daily across more than 1,900 treatment packages. The scale makes manual adjudication increasingly difficult - organizers structured the hackathon around three specific problems: document classification against treatment guidelines, radiological image analysis, and forgery detection.

Document Classification Winners

Team Nirnaya won the top prize in clinical document classification by building a system that automatically reads healthcare claim documents and checks them against Standard Treatment Guidelines. The solution aims to speed up claims processing while maintaining consistency in review decisions.

Runner-up finishers included teams from IIIT Gwalior and Vidal Health, each focusing on automated document processing and verification of supporting records.

Radiological Image Analysis

Team BiltIQ AI took first place for developing an AI system designed to interpret radiological images and correlate findings within claims workflows. Two other teams competed in this category with work on anomaly detection and scalable deployment of healthcare AI systems.

Fraud Detection

Team Sopa Claims won recognition for building an AI system to detect forged medical documents and deepfakes. Runner-up teams from Rajiv Gandhi University of Knowledge Technologies and Sushurutha Health AI focused on computer vision, deep learning, and fraud detection through machine learning.

Winners received ₹5 lakh, ₹3 lakh, and ₹2 lakh for first, second, and third place respectively. Winning teams will have opportunities to collaborate with the National Health Authority for further development and deployment of their solutions.

What Experts Are Discussing

Panel discussions at the showcase centered on two themes: the future of claims adjudication and fraud prevention in digital health systems. Participants from government, insurers, healthcare providers, and technology firms discussed how AI-assisted adjudication can reduce processing times while maintaining clinical oversight and provider trust.

Fraud prevention discussions addressed emerging risks including identity misuse, deepfakes, and forged documents. Participants emphasized the need for governance frameworks, data privacy safeguards, and responsible AI deployment alongside fraud detection capabilities.

The hackathon reflects the National Health Authority's focus on using AI Agents & Automation to reduce manual effort in claims management while strengthening transparency and programme integrity across AB PM-JAY.


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