Over 3,500 Participants Competed To Develop AI-Based Solutions For Faster And Transparent Claims Processing Under Ayushman Bharat
The National Health Authority under the Ministry of Health and Family Welfare, in collaboration with the IndiaAI Mission and Indian Institute of Science, successfully concluded the AB PM-JAY Auto-Adjudication Hackathon Showcase 2026.
The two-day national showcase recognised innovative teams that developed Artificial Intelligence-powered solutions to strengthen the speed, transparency, accuracy, and integrity of healthcare claims adjudication under Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB PM-JAY).
The hackathon witnessed participation from innovators, startups, researchers, students, and technology professionals from across India, with more than 3,500 registrations received. Solutions were evaluated by an expert jury comprising representatives from government bodies, academia, healthcare institutions, and the technology sector.
AI Solutions Awarded Across Three Key Healthcare Challenges
The competition focused on three major problem statements related to healthcare claims management and fraud prevention under AB PM-JAY.
Team Nirnaya Wins In Clinical Document Classification Category
Under the category “Clinical Document Classification and Compliance to Standard Treatment Guidelines (STGs),” Team Nirnaya, led by Vinay Babu Ulli, emerged as the winner. The team developed an AI-supported solution capable of automatically reading healthcare claim documents and verifying compliance with Standard Treatment Guidelines to support faster and more accurate claims processing.
The runner-up position was secured by Team Khushi Singh and Ronit from IIIT Gwalior for creating an automated healthcare claims document processing and verification system.
Team Vidal Health, comprising Dr Mukul Jain, Vijay Balaji, Aayush Derashree, Kartikeya Bhatnagar, Satvik Pathak, and Abhishek Sinha, secured the second runner-up position for developing an AI-supported healthcare claims validation platform.
BiltIQ AI Tops Radiological Image-Based Detection Challenge
In the category “Radiological Image-Based Condition Detection and Report Correlation,” Team BiltIQ AI, led by Harish Kumar, won the top prize for demonstrating AI-enabled solutions designed to support interpretation of radiological images and correlate findings within healthcare claims workflows.
Team Kantaka Sodhana secured the runner-up position for developing healthcare AI systems focused on automation, anomaly detection, and operational efficiency.
The second runner-up position was awarded to Team Arnold Sachith and Dr Smitha Rao for their scalable AI-driven healthcare solutions.
AI-Powered Fraud Detection Solutions Recognised
Under the “Document Forgery / Deepfake Detection” category, Team Sopa Claims, led by Praveen Sridhar and Snehal Joshi, emerged as winners for developing AI-driven systems aimed at detecting forged medical documents and strengthening programme integrity.
Team Forgensic from Rajiv Gandhi University of Knowledge Technologies, Nuzvid (RGUKT-Nuzvid), secured the runner-up position for its work in computer vision, deep learning, medical imaging, and forensic analysis focused on healthcare fraud detection.
Team Sushurutha Health AI secured the second runner-up position for developing AI and machine learning-based healthcare insurance fraud detection systems.
Winners Receive Cash Prizes And Collaboration Opportunities
The winning teams received cash prizes of ₹5 lakh, ₹3 lakh, and ₹2 lakh for winner, runner-up, and second runner-up positions respectively under each problem statement.
The National Health Authority also announced that winning teams may receive opportunities for future collaboration for further development and deployment of their innovative solutions within healthcare claims management systems.
Experts Discuss Future Of AI In Healthcare Claims Processing
The showcase also featured panel discussions on the future of AI-driven claims adjudication and fraud prevention in healthcare systems.
Experts from government agencies, insurance companies, TPAs, healthcare providers, academia, and the technology ecosystem discussed the growing role of Artificial Intelligence, interoperable digital infrastructure, automation, auditability, and scalable claims management systems under AB PM-JAY.
Another session focused on challenges related to fraud, waste, abuse, forged medical records, identity misuse, and deepfake risks within digital healthcare ecosystems. Participants highlighted the importance of AI-enabled fraud detection systems, responsible AI deployment, governance frameworks, data privacy safeguards, and secure digital infrastructure.
AB PM-JAY Processes Around 50,000 Claims Daily
According to officials, the Ayushman Bharat Pradhan Mantri Jan Arogya Yojana ecosystem currently processes nearly 50,000 healthcare claims daily across more than 1,900 treatment packages.
Given the scale and complexity of healthcare claims processing, the hackathon was organised to encourage the development of AI-enabled technologies capable of reducing manual workload, improving efficiency, enhancing transparency, and ensuring faster and more consistent claims adjudication.
Through this initiative, the National Health Authority reaffirmed its commitment to leveraging responsible Artificial Intelligence and Digital Public Infrastructure to strengthen healthcare delivery and build transparent, technology-driven public health systems in India.
