How India's Digital Health System Works

India's digital health infrastructure has developed rapidly since COVID-19 exposed the limits of India's paper-based health records system and demonstrated the value of digital health coordination at scale. The Ayushman Bharat Digital Mission (ABDM) — the government's overarching digital health framework — aims to create a national digital health ecosystem connecting patients, providers, labs, pharmacies, and insurers through interoperable digital systems. 

At its core is the ABHA (Ayushman Bharat Health Account) — a 14-digit health ID that functions as the health equivalent of Aadhaar, linking a citizen's health records across providers. By 2025, over 60 crore (600 million) ABHA IDs had been created; the CoWIN vaccination platform (developed for COVID-19 vaccination management) demonstrated India's ability to build health-specific digital infrastructure at extraordinary speed and scale.

How India's Digital Health System Works
Representational Image: How India's Digital Health System Works
India's digital health transformation is significant but incomplete. Ayushman Bharat PM-JAY (health insurance for 55 crore people, coverage up to ₹5 lakh/family) and PM-JAN AROGYA YOJANA together represent the demand side; the ABDM's health information exchange (HIX) creates the data infrastructure through which health records flow between providers. 

The eSanjeevani telemedicine platform — operational since 2020 — has conducted over 24 crore (240 million) telemedicine consultations by 2025, making it the world's largest telemedicine platform. India's National Telemedicine Framework (2020) legitimised online doctor consultation for the first time, enabling telemedicine's rapid growth during and after COVID-19.

What You Need to Know

  • ABHA (Ayushman Bharat Health Account): 14-digit health ID linked to Aadhaar; 60+ crore IDs created by 2025; enables linking of health records across providers; patient-controlled data sharing through Health Information Exchange (HIE); used for PM-JAY insurance claims, vaccination records, prescription history.
  • CoWIN: COVID-19 vaccination management platform; managed 204 crore (2.04 billion) COVID vaccine doses; generated digital vaccination certificates via ABHA and DigiLocker; demonstrated India's capacity for health digital infrastructure at scale; now adapted for routine immunisation management.
  • eSanjeevani telemedicine: government telemedicine platform; 24 crore+ consultations by 2025; hub-and-spoke model (specialist hubs at medical colleges connecting to peripheral health centres); AB-HWC (Ayushman Bharat Health and Wellness Centre) telemedicine for community health.
  • AI health diagnostics: IndiaAI Mission AI CoE for Healthcare; AI tools approved for diabetic retinopathy screening (fundus image analysis), tuberculosis detection (chest X-ray AI), and cervical cancer screening; ICMR has published AI validation guidelines for medical AI tools.
  • PM-JAY health insurance: 55 crore beneficiaries (extended to all 70+ citizens in 2024 regardless of income); cashless hospitalisation at 26,000+ empanelled hospitals; 7.2 crore hospital admissions approved by 2024; uses ABHA for beneficiary identification and claim processing.

How It Works in Practice

1. ABHA-based health record linking: When a patient visits a doctor or hospital, they can share their ABHA ID; the provider registers the encounter in the Health Information Exchange (HIE) against the ABHA; subsequent providers can access the patient's longitudinal health record (with patient consent) through the HIX. This is the vision; in practice, ABHA record linking is implemented primarily in larger hospitals and ABDM-empanelled providers; small clinics and primary health centres have limited electronic health record systems to link.

2. PM-JAY fraud detection: India's health insurance scheme has significant fraud risk — hospitals billing for procedures not performed, billing at rates above authorised prices, and ghost patient billing. ABDM's ABHA-based patient identification reduces ghost patient fraud; AB-PMJAY uses AI-driven fraud detection on claims data to flag suspicious patterns; the National Health Authority (NHA) operates a fraud detection system that monitors unusual billing patterns.

3. Telemedicine and primary care transformation: eSanjeevani's 24 crore consultations represent a genuine expansion of primary care access to populations previously unable to reach doctors; rural patients who would need to travel hours for a specialist consultation can now receive it via eSanjeevani. The challenges are: doctor quality and availability at the hub; patient digital literacy and connectivity at the spoke; and the limitations of telemedicine for conditions requiring physical examination.

4. Digital pharmacy and drug supply chain: India's e-Pharmacy framework (operationalised through IT Rules for pharmacy) enables online prescription drug dispensing with ABHA-linked prescriptions; the pharmaceutical supply chain uses track-and-trace systems (SecurPharma) for drug authenticity; counterfeit drug detection using QR code verification is being scaled. These supply chain improvements have public health implications for both drug quality and supply chain efficiency.

5. Health data governance challenges: India's ABDM stores and transmits sensitive health data including HIV status, mental health diagnoses, reproductive health, and chronic disease records. The DPDPA's "sensitive personal data" category (under development) and the ABDM's own consent architecture provide some protection; but the combination of ABHA-Aadhaar linking, government health insurance administration, and research data use creates significant health data concentration and secondary use risks.

What People Often Misunderstand

  • ABHA creation does not mean health record integration: 60 crore ABHA IDs have been created; far fewer have linked health records; an ABHA ID is necessary but insufficient for health record portability, which requires provider-side Electronic Medical Record (EMR) systems that are far from universal.
  • CoWIN's COVID vaccination success was an exceptional mobilisation: CoWIN's extraordinary performance (2.04 billion doses) reflected COVID-19's emergency priority, unprecedented resource mobilisation, and simple use case (two standardised vaccines); its lessons cannot be fully transferred to India's fragmented multi-vaccine routine immunisation programme.
  • PM-JAY's insurance coverage does not equal health care access: Being covered by PM-JAY insurance means being entitled to cashless hospitalisation at empanelled hospitals; it does not address the primary healthcare shortfall, drug availability, or quality of care; insurance increases financial protection but does not itself improve health outcomes.
  • Telemedicine works better for some conditions than others: Follow-up consultations, prescription renewals, and dermatological cases work well via telemedicine; new diagnoses requiring physical examination, emergency conditions, and mental health conditions requiring therapeutic relationships are less well-served by telemedicine.
  • India's AI health diagnostics are decision-support tools: AI tools for diabetic retinopathy and TB detection are validated as support tools for human clinicians, not as autonomous diagnostic replacements; their deployment context (supporting overtasked health workers) is appropriate; deployment as autonomous diagnostic tools without human oversight would raise significant safety concerns.

What Changes Over Time

The DPDPA's Rules (November 2025) specifically focus on health data as sensitive personal data requiring enhanced protections; when the law's compliance deadline arrives (May 2027), health data fiduciaries including hospitals, PM-JAY administrators, and ABDM systems will need to implement enhanced consent and security requirements. 

The AI CoE for Healthcare — building India-specific health AI models trained on Indian health data — is expected to produce validated AI diagnostic tools for additional disease categories (cardiac, cancer, maternal health) by 2027.

Sources and Further Reading

(This series is part of a long-term editorial project to explain the structures, institutions, technologies, and policy frameworks that shape governance in India for a global audience. Designed as a 25-article briefing cluster on Digital India, Platforms & AI Governance, this vertical examines how India is building and regulating one of the world's largest digital societies — from Aadhaar, UPI, DigiLocker, Digital Public Infrastructure (DPI), and fintech innovation to data protection, cybersecurity, platform regulation, artificial intelligence governance, digital inclusion, online rights, and the future of the state's relationship with technology. Written in an accessible format for diplomats, investors, researchers, technology professionals, NGOs, civil society actors, students, academics, policymakers, and international observers, the series seeks to explain both how India's digital architecture is designed and how it functions in practice across a population of more than 1.4 billion people. Particular attention is given to the opportunities, trade-offs, institutional debates, and governance challenges created by rapid digital transformation. This is Vertical 8 of a larger 20-vertical knowledge architecture being developed by IndianRepublic.in under the editorial direction of Saket Suman. All articles are protected under applicable copyright laws. All Rights Reserved.)
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