Union Health Minister Shri J.P. Nadda inaugurates Arogya Manthan 2026, marking eight years of AB PM-JAY and five years of ABDM

1. At a Glance

• Aarogya Manthan 2026 is an NHA-organised stakeholder event. It was inaugurated by Union Health Minister J.P. Nadda at Vigyan Bhawan, New Delhi. It marks 8 years of AB PM-JAY and 5 years of ABDM [1].
• AB PM-JAY is described as the world's largest health assurance programme [1]. ABDM is the digital backbone: ABHA IDs, health records, facility and professional registries, and claims exchange [1][4].
• UPSC relevance: it links health financing (insurance and out-of-pocket spending), digital public infrastructure, federalism, data privacy and AI in health. It fits both Prelims scheme facts and Mains GS-II and GS-III.

2. Why in the News

• On 25 Sep 2026, Nadda inaugurated Aarogya Manthan 2026, organised by the National Health Authority (NHA) [1].
• The event brought together officials, providers, insurers, tech and digital-health experts, academia and development partners. The agenda was to take stock of progress and set priorities for the next phase [1].
• Nadda said initiatives launched at the event would strengthen digital healthcare, enable secure use of health data, and support research, innovation and data-driven decision-making [1].
• Speakers included Dr M. Srinivas (Member-Health, NITI Aayog), Ajay Seth (Chairman, IRDAI) and Dr Rajiv Bahl (DG ICMR and Secretary, DHR) [1]. The excerpt I was given cuts off mid-sentence in Dr Bahl's remarks, so his points are not covered here.
• The specific initiatives launched at the event are not in the excerpt I received, so they are not listed here.

3. Background & Evolution

• AB PM-JAY was launched on 23 Sep 2018 [2].
• ABDM was launched by PM Modi on 27 Sep 2021, to build a digital health ecosystem through public-private collaboration [4].
• PM-ABHIM (health infrastructure mission) was launched on 25 Oct 2021, announced in Budget 2021-22 [2].
• 11 Sep 2024: the Union Cabinet approved expanding PM-JAY to all citizens aged 70+, regardless of income. The cover is ₹5 lakh per family, benefiting about 6 crore seniors in 4.5 crore families [3].
• Recent ABDM milestones:
• 90 crore ABHAs [4].
• 100 crore health records linked [5].

• As of 25 Sep 2026: 97.8 crore ABHAs and 121 crore records linked [1].

• Delhi became the 35th State/UT to implement PM-JAY [6].

4. Core Static Facts

5. Multi-Dimensional Analysis

Social / Equity

• PM-JAY reduces the financial burden on economically weaker sections [1].
• Universal cover for 70+ regardless of income shifts the scheme from being targeted at the poor to being age-based [1][3].
• Portability matters for migrant workers [1].

Scientific / Technological

• ABDM enables authentication, authorisation and access to treatment across locations [1].
• NITI Aayog stressed standardised, interoperable data as the base for health research and for using AI responsibly [1].

Ethical / Governance

• Interoperability must rest on citizen consent and safeguards [1].
• IRDAI's asks: ABHA as the health-insurance ID, treatment codification, standard billing formats, and standard treatment guidelines [1].
• NHCX is meant to improve ease of claims and pre-authorisation [1].

Administrative / Federal

• Delivery depends on States, empanelled hospitals, Ayushman Mitras, ASHA and Anganwadi workers [1].
• States joined in phases; Delhi was the 35th to implement [6].
• Next-phase priorities are continuity of care, quality, and referral for specialised treatment [1].

Economic

• IRDAI links PM-JAY's experience to strengthening the wider health-insurance ecosystem. The stated aims are quality, affordability and access [1].

6. Recent Developments (last 12-18 months)

• 11 Sep 2024: cabinet nod for the 70+ expansion [3]. This falls just outside the 18-month window but is the key precursor.
• ABDM crossed 90 crore ABHAs [4] and 100 crore records linked [5]. The exact dates were not in the search summaries, so I have not stated them.
• NHCX Hackathon winners were announced by NHA under ABDM [8].
• 25 Sep 2026: Aarogya Manthan 2026 was held, with the figures in Section 4 [1].

7. Prelims Hooks

• AB PM-JAY launch date: 23 Sep 2018 [2].
• ABDM launched by the PM on 27 Sep 2021 [4].
• Aarogya Manthan 2026 was organised by the NHA at Vigyan Bhawan, New Delhi [1].
• ABHA is a 14-digit health ID [7].
• NHCX is one of the three ABDM gateways [7].
• ABDM's registries are HFR (Health Facility Registry) and HPR (Healthcare Professionals Registry) [7].
• UHI stands for Unified Health Interface, and HIE-CM for Health Information Exchange and Consent Manager [7].
• PM-JAY seniors' cover: age 70+, ₹5 lakh per family, no income criterion [3].
• PM-ABHIM was launched on 25 Oct 2021 [2].
• Nadda holds the portfolios of Health and Family Welfare, and Chemicals and Fertilizers [1].
• The IRDAI Chairman quoted at the event is Ajay Seth [1].
• Dr Rajiv Bahl is DG of ICMR and Secretary of the Department of Health Research [1].
• Delhi was the 35th State/UT to implement PM-JAY [6].

8. What PM-JAY Does Not Pay For: the Bill Outside the Hospital

• PM-JAY pays only when you are admitted to a hospital bed
• It is a hospitalisation cover. The money moves when a patient is admitted for a listed treatment package [1].
• Most health spending by a family is not hospitalisation. It is doctor visits, tests and medicines taken at home, month after month.

• So a family can be covered for ₹5 lakh and still pay cash every month for a diabetes or blood pressure medicine.

• This is why out-of-pocket expenditure (the money a family pays from its own pocket) has fallen but not disappeared

• It came down from 62.6% of total health spending in 2014-15 to 39.4% in 2021-22 [9].

• Even after that fall, about 4 out of every 10 rupees spent on health in India still comes straight from the household [9][10].

• The gap is meant to be filled by a different scheme, not by PM-JAY

• PM-ABHIM (launched 25 Oct 2021) builds the supply side — health and wellness centres, district labs, critical care blocks [2].
• Judge PM-JAY on hospital bills avoided. Judge PM-ABHIM and Ayushman Arogya Mandirs on the everyday medicine-and-test bill. Mixing the two is the most common mistake in answers on this topic.

9. Hospitals That Billed for Treatment They Did Not Give

• The payment design itself creates the temptation
• PM-JAY pays a fixed rate per treatment package. A hospital earns more by doing more packages, not by keeping the patient well.

• So the money can be claimed for a patient who was never admitted, or for a costlier package than the one actually done (this is called upcoding).

• This is not a theory — the government has published the numbers

• 3,167 hospitals were found guilty of irregularities since the scheme began [11].

• 1,114 hospitals were de-empanelled (thrown out of the scheme), 549 suspended, and penalties of about ₹122 crore were charged on 1,504 hospitals [11].

• What NHA built to catch it

• A National Anti-Fraud Unit (NAFU) at NHA, with State Anti-Fraud Units (SAFUs) in the States [16].
• AI and machine learning to flag suspicious claims, plus desk and field medical audits of empanelled hospitals [11][16].

• Every claim must carry supporting documents and a photo of the patient on the hospital bed before payment [11].

• Why this matters for the ABDM story

• The same digital records that raise privacy worries are also the tool that catches a fake claim.
• So "more data" and "less misuse" pull in the same direction here. The real question is who can see the data, not whether it should exist.

10. Why Some Private Hospitals Do Not Join, and Why Payment Delay Is the Reason

• Half the network is private, and States decide who gets in
• The network has 28,351 empanelled hospitals, of which 12,824 are private [12].
• All government hospitals with in-patient beds are treated as empanelled automatically. Private hospitals must be empanelled by the State Health Agency [12].

• So the private share of the network is a State-by-State decision, not a central one.

• A private hospital treats first and gets paid later

• The hospital spends on medicines, staff and implants, then files a claim, then waits for the State to release money.
• If the wait is long, a small nursing home runs out of working capital and simply stops taking PM-JAY patients — or asks the patient to pay something extra.

• NHA's own response has been to focus on claim settlement time and to monitor it centrally [14].

• The fix being attempted is automation of claim approval

• NHA has opened an AB PM-JAY Auto-Adjudication Hackathon 2026 to build systems that settle routine claims without a human checking each one [15].
• NHCX is the matching piece: hospitals and insurers on one claims platform with standard formats [1][7].
• IRDAI's asks — ABHA as the insurance ID, standard billing formats, treatment codification — are exactly what auto-approval needs to work [1].

11. The Argument That India Is Buying Care Instead of Building It

• The strongest case against this model, stated fairly
• PM-JAY pays private hospitals to treat the poor. Critics say this puts public money into private hospital income instead of into government hospitals, doctors and primary care.
• Insurance can only pay for illness that has already become serious enough to need a hospital bed. It cannot prevent that illness.
• Public health spending is still low: government health spending was 1.84% of GDP in 2021-22, below the 2.5% goal set in the National Health Policy 2017 [9].

• A WHO Bulletin study on India found large gaps in health coverage between richer and poorer households inside the same district — so a national scheme reaching 60 crore people can still miss the poorest in a place [13].

• Where the argument is right

• Insurance alone cannot deliver primary care, and the money spent on packages does flow substantially to private providers [12].

• Where it is answered

• The household's own burden did fall sharply, from 62.6% to 39.4% of health spending, while the government's share rose from 29% to 48% [9].
• India did not choose insurance instead of infrastructure. PM-ABHIM (2021) is the building-side scheme running alongside [2].

• Delivery still rests on public frontline staff — Ayushman Mitras, ASHA and Anganwadi workers — not only on private hospitals [1].

• How to use this in an answer: do not pick a side. Write that demand-side insurance and supply-side capacity are two legs of the same walk, and India's weak leg is public spending as a share of GDP [9].

12. What 97.8 Crore ABHA Numbers Do Not Yet Prove

• Creating an ID is easy; using it is the hard part
• 97.8 crore ABHAs exist and 121 crore health records are linked [1].
• That is a little over one linked record for each ABHA. A health history that helps a doctor needs many visits recorded over years, not one.

• So the number shows reach. It does not yet show that a doctor in a new city can actually pull up your past treatment.

• The registries show where the ecosystem is thin

• 5.6 lakh health facilities and about 11 lakh healthcare professionals are registered [1].

• India's clinics and small labs number far more than that. A facility outside the HFR cannot write into your record at all, so a visit there leaves no trace in the system.

• Consent is the safeguard, and it must be checked, not assumed

• HIE-CM (Health Information Exchange and Consent Manager) is the part that asks your permission before a record is shared [7].
• The test is not whether consent exists in the design. It is whether a patient at a hospital counter, being asked to tap approve to get treatment, can meaningfully say no.

• The Digital Personal Data Protection Act, 2023 gives health data its legal frame. Health data is the most sensitive kind — a leak of an HIV or cancer record cannot be undone by changing a password.

• Why NITI Aayog's point about standards matters here

• NITI stressed standardised, interoperable data as the base for research and for responsible AI use [1].
• If two hospitals write the same diagnosis in two different ways, the record can be shared but not understood. Standard treatment codes — also IRDAI's ask — are what turn shared data into usable data [1].

13. Anchors for Answers

• Data: Out-of-pocket expenditure fell from 62.6% of total health spending in 2014-15 to 39.4% in 2021-22; government health spending rose from 29% to 48%, and to 1.84% of GDP [9]
• Data: 3,167 hospitals found guilty of irregularities under PM-JAY; 1,114 de-empanelled, 549 suspended, ₹122 crore penalties on 1,504 hospitals [11]
• Data: 28,351 empanelled hospitals, of which 12,824 are private [12]
• Data: 97.8 crore ABHAs against 121 crore linked records — about one record per ID [1]
• Report/Committee: National Health Accounts Estimates for India, 2022-23 (Ministry of Health and Family Welfare) [10]; National Health Policy 2017 target of 2.5% of GDP for public health spending [9]
• Law/Case: Digital Personal Data Protection Act, 2023 — consent frame for health data; ABDM consent runs through HIE-CM [7]
• Comparison: WHO Bulletin study on district-level monitoring of universal health coverage in India — rich-poor coverage gaps persist within the same district, so national coverage figures hide local exclusion [13]
• Scheme: PM-ABHIM (25 Oct 2021) as the supply-side partner to PM-JAY's demand-side insurance [2]; NHCX and the AB PM-JAY Auto-Adjudication Hackathon 2026 as the claim-delay fix [1][15]
• Institution: National Anti-Fraud Unit (NAFU) at NHA with State Anti-Fraud Units, using AI/ML flagging and on-bed patient photos [16][11]

14. Mains Relevance

• GS-II: Health; government policies and interventions; governance, transparency and e-governance; Centre-State relations.
• GS-III: Science and technology applications, including AI and digital public infrastructure.
• GS-IV: Data privacy and consent.
• Likely questions: 1. AB PM-JAY has moved from a targeted scheme to a quasi-universal one. Evaluate the achievements and challenges. (15 marks) 2. Discuss how ABDM and the National Health Claims Exchange can transform health insurance in India. What safeguards are needed? (15 marks) 3. Interoperable health data is key to AI in healthcare, but raises consent and privacy concerns. Discuss. (10 marks)

15. Related Topics to Study Next

• Digital Personal Data Protection Act, 2023: the legal frame for health data and consent.
• PM-ABHIM: the supply-side counterpart to demand-side insurance.
• National Health Policy 2017 and health financing: out-of-pocket expenditure and the case for universal health coverage.
• IRDAI reforms and health insurance: standardisation and claims transparency.
• Digital Public Infrastructure (UPI, Aadhaar, UHI): the shared design logic.
• Ayushman Arogya Mandirs and ASHA/Anganwadi: frontline delivery.
• ICMR/DHR and health research: data use for research.
• Telemedicine and e-Sanjeevani: related digital delivery.

16. Common Errors / Trap Areas

• Dates: PM-JAY was launched in 2018 and ABDM in 2021. Hence "8 years" and "5 years" [2][4].
• Spelling and dates: PIB's body text says "Aarogya Manthan". The title uses "Arogya".
• Cover for seniors: it is ₹5 lakh per family and age 70+, with no income test. Do not confuse it with the older PM-JAY cover for identified poor families [3].
• NHA vs NITI vs IRDAI: NHA runs PM-JAY and ABDM. NITI and IRDAI were speakers, not implementers [1].
• ABDM components: NHCX is a claims gateway, not the health ID. ABHA is the 14-digit ID [7].
• Figures are as of 25 Sep 2026. Earlier milestone figures (90 crore ABHAs, 100 crore records) are superseded [1][4][5].