AB PM-JAY has moved from a targeted scheme to a quasi-universal one. Evaluate the achievements and challenges.

Launched in 2018 for deprived households identified through SECC data, AB PM-JAY now covers every citizen aged 70 and above irrespective of income [2]. Eight years on, as reviewed at Aarogya Manthan 2026 [1], this shift delivers real financial protection but exposes design and delivery gaps.

Achievements

• Scale of assurance: over 60 crore beneficiaries, more than 13 crore hospital admissions and treatment worth over ₹2 lakh crore — the world's largest health assurance programme [1].
• Financial protection: out-of-pocket expenditure fell from 62.6% (2014-15) to 39.4% (2021-22), while the government's share of total health expenditure rose from 29% to 48% [3].
• Quasi-universal turn: the Vay Vandana cover gives ₹5 lakh per family to about 6 crore seniors, de-linking entitlement from poverty status [2].
• Digital backbone: 97.8 crore ABHAs, 121 crore linked records and the NHCX claims gateway enable portability, faster settlement and AI-assisted oversight [1].

Challenges

• Fraud and upcoding: package-based payment rewards volume — 1,114 hospitals de-empanelled, 549 suspended and ₹122 crore in penalties on 1,504 hospitals [4].
• Provider participation: private hospitals are empanelled by State Health Agencies, so network density varies across States [5]; delayed reimbursement strains small hospitals, prompting the auto-adjudication push [6].
• Coverage without content: PM-JAY pays only for hospitalisation; outpatient medicines and diagnostics keep roughly four of every ten health rupees with households [3].
• Data governance: records per ABHA remain close to one [1], and consent under the DPDP Act, 2023 must be meaningful, not a counter-side formality.

The scheme's expansion is a genuine equity gain, yet insurance alone cannot substitute for capacity. Pairing demand-side assurance with PM-ABHIM's supply-side infrastructure, raising public health spending towards the National Health Policy 2017 goal of 2.5% of GDP, and embedding consent-based data safeguards would convert quasi-universal coverage into genuine universal health coverage under SDG-3.