Achieve your IAS dreams with The Core IAS – Your Gateway to Success in Civil Services

Ayushman Bharat Digital Mission: India’s Digital Health Backbone

(Source: PIB Analysis)

Topic: GS-2: Governance | E-Governance | Health Policy | Digital Public Infrastructure , GS-3: Science & Technology | Artificial Intelligence | Data Privacy

Context

  • The Ayushman Bharat Digital Mission (ABDM) has crossed 104 crore linked health records and 93 crore ABHA accounts, making it one of the world’s largest digital health ecosystems.
  • The mission recently launched Aarogya Setu 2.0 and introduced AI-driven health initiatives like SAHI and BODH.

Key Data

104 crore+ – Linked digital health records

93 crore+ – ABHA accounts created

September 2021 – ABDM launched

23.21 crore – Scan & Share tokens issued

1 hour → 2–5 minutes – Reduction in OPD waiting time

29 June 2026 – Aarogya Setu 2.0 launched

Issue

  • India’s healthcare system has long faced fragmented medical records, delayed service delivery and limited interoperability.
  • ABDM aims to build a citizen-centric, interoperable and consent-based national digital health ecosystem.

Static Background

Ayushman Bharat Digital Mission (ABDM)

  • Launched in September 2021.
  • Implemented by the National Health Authority (NHA).
  • Supports Universal Health Coverage (UHC) through Digital Public Infrastructure.

ABHA (Ayushman Bharat Health Account)

  • A 14-digit unique digital health ID.
  • Enables secure, portable and consent-based sharing of health records.

Core Building Blocks

  • ABHA
  • Healthcare Professionals Registry (HPR)
  • Health Facility Registry (HFR)
  • Health Information Exchange & Consent Manager (HIE-CM)
  • Unified Health Interface (UHI)
  • National Health Claims Exchange (NHCX)

Key Features

Aarogya Setu 2.0

  • Single digital gateway for health services.
  • Enables:
    • ABHA creation
    • Digital health record management
    • Scan & Register
    • Scan & Pay
    • Teleconsultation
    • Appointment booking

AI Features

  • OCR-based Smart Reports.
  • AI-assisted document digitisation.
  • Medical records converted into HL7-FHIR standard format.

Additional Services

  • Real-time blood availability (e-RaktKosh)
  • PM-JAY insurance information
  • Private insurance integration
  • Unified digital health services

Scan and Share

  • Introduced in 2022.
  • Generates ABHA-linked digital tokens.
  • Reduced patient waiting time from nearly one hour to 2–5 minutes.
  • Over 23.21 crore tokens issued.

AI Governance Initiatives

SAHI

(Strategy for Artificial Intelligence in Healthcare for India)

  • National AI roadmap for healthcare.
  • Provides policy recommendations for responsible AI adoption.

BODH

(Benchmarking Open Data Platform for Health AI)

  • Developed by IIT Kanpur with NHA.
  • Enables AI model training without exposing raw patient data.
  • Only trained model weights are shared.

Other Digital Initiatives

  • Ayushman Sarathi (WhatsApp chatbot)
  • Drug Registry
  • Common LOINC Codes for India (CLCI)
  • Bharat Health Terminology Service (BHTS)
  • eSushrut@Clinic for small healthcare facilities

Significance

Governance

  • Digital Public Infrastructure for healthcare.
  • Better service delivery through interoperability.
  • Faster claims processing.

Healthcare

  • Portable lifelong medical records.
  • Reduced duplication of tests.
  • Improved continuity of care.

Technology

  • Open digital architecture similar to UPI.
  • AI-enabled healthcare innovation.
  • Privacy-preserving health data ecosystem.

Critical Analysis

Strengths

  • One of the world’s largest digital health platforms.
  • Open, interoperable architecture reduces vendor lock-in.
  • Privacy-by-design approach keeps records with originating institutions.
  • AI initiatives balance innovation with data protection.
  • Demonstrated improvement in patient waiting time.

Limitations

  • High enrolment does not necessarily indicate active usage.
  • Uneven adoption across hospitals, diagnostics and pharmacies.
  • Data privacy concerns continue to require robust safeguards.
  • AI governance frameworks remain largely advisory until backed by enforceable regulation.

Way Forward

  • Operationalise comprehensive AI regulations for healthcare.
  • Measure outcomes such as reduced duplicate testing, improved claims settlement and better health outcomes.
  • Expand adoption among smaller hospitals and diagnostic centres.
  • Strengthen public trust through transparent consent and data-sharing mechanisms.
  • Improve digital literacy among healthcare providers and patients.

Leave a comment

Your email address will not be published. Required fields are marked *