Health Ministry Reviews AB PM-JAY and ABDM Implementation Progress
The National Health Authority (NHA), under the Ministry of Health and Family Welfare, Government of India, convened a two-day National Review Meeting in Kolkata on 5–6 November 2026 to assess the progress of Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB PM-JAY) and the Ayushman Bharat Digital Mission (ABDM). The meeting brought together senior officials from States and Union Territories to review implementation, share experiences, and develop strategies for strengthening these flagship healthcare initiatives.
West Bengal's Implementation Achievements
Shri Narayan Swaroop Nigam, Principal Secretary of Health for West Bengal, reported that the state joined AB PM-JAY as the 36th State with the scheme launching on 16 August 2026. Since its launch, West Bengal has enrolled 4.2 crore beneficiaries and provided treatment to 2.2 lakh people under the scheme. Dr. Sunil Kumar Barnwal, CEO of NHA, highlighted that West Bengal generated over four crore Ayushman Cards within a short span following integration with the national platform.
Strategic Shift and Focus Areas
The meeting emphasized a strategic shift from financing treatment towards achieving better health outcomes for beneficiaries. Dr. Barnwal stated that "every rupee spent on healthcare must lead to better care for our people" and emphasized leveraging technology, data, and artificial intelligence to strengthen implementation and improve efficiency. The deliberations focused on expanding beneficiary coverage, strengthening healthcare delivery, ensuring financial protection, and accelerating digital health adoption.
Technological Integration and AI Applications
A key focus was on the National Health Claims Exchange (NHCX) and the importance of ABDM-enabled Hospital Information Systems for integration across AB PM-JAY empanelled hospitals. The meeting featured a demonstration of Sandbox 2.0 enhanced with agentic AI capabilities, which successfully completed an ABDM Milestone 1 integration for ABHA creation in real time, showing how AI can reduce integration time and technical effort.
Prof. Phaneendra Yalavarthy from TANUH, IISc Bengaluru presented the Benchmarking Open Data Platform for Health AI (BODH), which enables evaluation and benchmarking of health AI models using Indian datasets. States were encouraged to utilize this platform for assessing AI solutions before adoption.
The meeting also witnessed a demonstration of NHA's Ambient AI-enabled Voice Scribe technology that converts doctor-patient conversations into structured clinical records in multiple Indian languages, which are then reviewed and approved by doctors before being linked to ABHA.
Fraud Prevention and Claims Processing
A dedicated session examined the National Anti-Fraud Unit (NAFU) and auto-adjudication, focusing on the increasing use of automation in claims settlement and its impact on processing timelines, operational costs, and adjudication quality. The importance of regular fraud reviews, effective monitoring mechanisms, and strengthening State Anti-Fraud Units was underscored to ensure transparency and accountability.
Cybersecurity and Data Protection
Given the sensitive nature of health information, cybersecurity received significant attention. Discussions examined potential threats including phishing attacks, fraudulent URLs and applications, credential leaks, and third-party vulnerabilities. States were advised to designate dedicated cybersecurity leads, strengthen authentication and access controls, and undertake regular security audits of applications and APIs.
Health Financing Models and Convergence
Dr. Darez Ahamed, Secretary of Health for Tamil Nadu, shared the state's experience in implementing insurance and assurance models of health coverage. The discussion highlighted the importance of aligning health coverage models with the nature of risks being addressed, supported by ring-fenced funds and timely payments to hospitals.
The session on convergence explored how States could leverage NHA's IT platform for implementing their respective health schemes, utilizing existing health benefit packages, empanelled hospital networks, and fraud-detection mechanisms for greater standardization and streamlined implementation.
Institutional Capacity and Data Analytics
The Health Analytics and Artificial Intelligence Unit (HAAU) presented findings on data quality, highlighting the need to strengthen institutional capacity for data analytics and evidence-based decision-making. States committed to establishing dedicated analytics and AI teams to support informed planning and targeted interventions.
The two-day meeting comprised 15 sessions covering various aspects of programme implementation, operational efficiency, digital health infrastructure, and emerging technological interventions, concluding with a shared roadmap for the next phase of implementation.