PIB TrackerNHA reviews PM-JAY, ABDM; West Bengal enrols 4.2 crore
A two-day National Review Meeting in Kolkata, with 15 sessions, reviewed AB PM-JAY and ABDM with States and Union Territories; West Bengal, the 36th State, reports 4.2 crore enrolled and 2.2 lakh treated since 16 August 2026.
What happened
- The National Health Authority convened a two-day National Review Meeting in Kolkata on 5-6 November 2026, with 15 sessions on AB PM-JAY and ABDM.
- West Bengal, the 36th State to join, launched the scheme on 16 August 2026 and reports 4.2 crore beneficiaries enrolled and 2.2 lakh treated.
- Sessions on the National Anti-Fraud Unit, auto-adjudication, the National Health Claims Exchange and the Model Digital Health Facility Framework (Tripura) dominated the agenda.
- BODH from IISc Bengaluru lets States benchmark health AI models on Indian datasets; States committed to create dedicated analytics and AI teams.
- Sandbox 2.0 with agentic AI completed an ABDM Milestone 1 integration live, and States were told to appoint cybersecurity leads.
For Prelims
- AB PM-JAY: launched on 23 September 2018, it offers a health cover of Rs 5 lakh per family per year for secondary and tertiary hospitalisation at empanelled hospitals; cover was extended to citizens aged 70 and above in 2024.
- National Health Authority: the agency under the Ministry of Health and Family Welfare that implements AB PM-JAY and ABDM; States run the scheme through their State Health Agencies.
- ABDM: launched nationwide on 27 September 2021 to build digital health infrastructure; ABHA is the 14-digit Ayushman Bharat Health Account number that links a person's health records.
- NHCX: the National Health Claims Exchange is a digital platform that connects hospitals, insurers and payers to speed up claims, which is why ABDM-enabled hospital systems matter.
- Auto-adjudication: software settles claims that meet rules without manual review, while the National Anti-Fraud Unit and State Anti-Fraud Units investigate suspected fraud.
- Insurance and assurance models: a State can pay an insurer a premium, or run the scheme itself through a trust and pay claims directly (assurance); Tamil Nadu shared both experiences.
- Health in the Constitution: public health and sanitation, hospitals and dispensaries are State List subjects (Seventh Schedule), which is why the Centre reviews implementation with States.
- Agentic AI: AI systems that carry out multi-step tasks on their own; the release applies it to a sandbox that speeds technology partners' ABDM integration.
For UPSC: AB PM-JAY and ABDM review, Kolkata, 5-6 November, 15 sessions; West Bengal 36th State: 4.2 crore enrolled, 2.2 lakh treated; NAFU, NHCX, BODH, Sandbox 2.0.
What it is NOT: The release gives no new national figures for AB PM-JAY, such as total cards, claims or spending. West Bengal's 2.2 lakh treated is not broken down by hospital type or claim value. It does not say what the shared roadmap contains, when targets fall due or what funding follows. The BODH benchmarking advice is not binding on States, and fraud findings, claim rejection rates and cybersecurity incidents are not reported.
For Mains
Syllabus: GS2.13 · GS2.15 · Linkage L1
Anchor
Health cover on paper means little unless people are enrolled, hospitals are paid on time and fraud is held in check. The meeting is the Centre and States checking all three, with digital tools at the centre.
Substantiation (data)
West Bengal joined as the 36th State, launched on 16 August 2026, and has enrolled 4.2 crore beneficiaries and treated 2.2 lakh. The review ran 15 sessions across 5-6 November.
Position
Auto-adjudication, NHCX integration and anti-fraud units can cut claim delays and leakage, while common platforms let States run their own schemes on NHA's packages, hospital network and fraud checks.
Counterpoint
Enrolment is not care: 2.2 lakh treated against 4.2 crore enrolled is about half of one per cent in under three months. AI claims systems add privacy, bias and cyber risks, and the release offers no outcome data.
Way forward
Publish utilisation and rejection data, fund primary care alongside hospital cover, make BODH-type benchmarking a procurement norm, audit AI adjudication, and strengthen State Anti-Fraud Units and security.
Conclusion
The meeting names the right problems. Whether cover turns into treatment and better outcomes depends on data the Centre has not yet published.
Deploys into: Universal health coverage and financial protection · Digital health and e-governance · Centre-State coordination in a State-List subject · AI governance, privacy and cybersecurity in public systems
Ministry of Health and Family Welfare · 2026-11-06 · PRID 2333617 · PIB source ↗