<h2>Overview</h2>
<p>The <strong>National Health Authority (NHA)</strong>, under the <strong>Ministry of Health and Family Welfare</strong>, together with the <span class="key-term" data-definition="IndiaAI Mission — a government‑led programme to accelerate responsible AI research, development and deployment across sectors, including health (GS3: Technology, Innovation)">IndiaAI Mission</span> and <span class="key-term" data-definition="Indian Institute of Science — a premier research university in Bengaluru, often partnered for high‑impact technology projects (GS3: Science & Technology)">IISc Bengaluru</span>, wrapped up the two‑day <span class="key-term" data-definition="Auto‑Adjudication — the use of artificial intelligence to automatically verify, validate and settle health insurance claims without manual intervention (GS3: Health, Technology)">Auto‑Adjudication</span> Hackathon Showcase 2026. More than 3,500 innovators presented AI‑driven tools aimed at speeding up claim processing, ensuring compliance with treatment guidelines, and detecting fraud under <span class="key-term" data-definition="Ayushman Bharat Pradhan Mantri Jan Arogya Yojana — India’s flagship publicly funded health insurance scheme covering secondary and tertiary care for over 10 crore families (GS3: Health, Social Welfare)">AB PM‑JAY</span>.</p>
<h3>Key Developments</h3>
<ul>
<li>Three problem statements – Clinical Document Classification, Radiology Image Detection, and Document Forgery/Deepfake Detection – attracted 3,500+ participants.</li>
<li>Winners received cash prizes of <strong>₹5 lakh</strong>, <strong>₹3 lakh</strong> and <strong>₹2 lakh</strong> respectively, and are being considered for pilot deployment within AB PM‑JAY.</li>
<li>High‑level panel discussions highlighted AI‑assisted adjudication, digital public infrastructure, and robust fraud‑prevention mechanisms.</li>
<li>Roundtables on <span class="key-term" data-definition="Ayushman Bharat Digital Mission — a Digital Public Infrastructure initiative to create interoperable, patient‑centric health records and services across India (GS3: Digital Governance, Health)">ABDM</span> enablement and on <span class="key-term" data-definition="Foundation Models — large, pre‑trained AI models that can be fine‑tuned for specific tasks such as clinical decision support, enabling scalable AI solutions (GS3: AI, Technology)">Foundation Models</span> set a roadmap for interoperable, scalable health‑AI ecosystems.</li>
</ul>
<h3>Important Facts</h3>
<p>• <strong>Team Nirnaya</strong> won the Clinical Document Classification track with an AI system that reads claim documents and checks compliance with Standard Treatment Guidelines (STGs).<br>
• <strong>Team BiltIQ AI</strong> secured the Radiology track by correlating imaging findings with clinical reports.<br>
• <strong>Team Sopa Claims</strong> topped the Forgery/Deepfake track with a solution that flags fraudulent documents using AI.<br>
• The showcase also featu