ABDM and the DPDP Act: What Healthcare Providers Need to Know

India’s healthcare ecosystem is rapidly becoming digital. Hospitals, clinics, diagnostic laboratories, doctors, health-tech companies, and patients are increasingly relying on digital systems to create, store, access, and exchange health information.

Two important developments sit at the centre of this transformation:

• Ayushman Bharat Digital Mission (ABDM), which is building an interoperable digital health ecosystem in India.
• Digital Personal Data Protection (DPDP) Act, 2023, India’s principal legislation governing the processing of digital personal data.

For healthcare organizations, these two frameworks are closely connected.

ABDM is designed to enable secure and consent-based exchange of health information between participating systems. The DPDP framework establishes obligations around how digital personal data is processed and how individuals’ rights and privacy are protected.

This creates an important question for healthcare organizations:

How can you adopt ABDM while building a healthcare data environment that is aligned with India’s evolving data-protection requirements?

The answer is not simply to “be ABDM compliant” or “be DPDP compliant.” Healthcare organizations need to think about the entire data lifecycle—from collection and consent to access, sharing, security, retention, and deletion.

This article explains the relationship between ABDM and the DPDP Act and what it means for hospitals, clinics, diagnostic labs, and healthcare technology providers.

What is ABDM?

The Ayushman Bharat Digital Mission (ABDM) is a national initiative led by the National Health Authority to create an interoperable digital health ecosystem.

Its objective is to enable different healthcare systems to communicate with one another using common digital standards and building blocks.

ABDM includes components such as:

• ABHA (Ayushman Bharat Health Account)
• Healthcare Professionals Registry (HPR)
• Health Facility Registry (HFR)
• Health Information Exchange and Consent Manager (HIE-CM)
• Health Information Provider (HIP) and Health Information User (HIU) ecosystem
• Digital health records and interoperable health information exchange

A key characteristic of ABDM is its federated architecture.

ABDM does not function as a central repository for every patient’s medical records. According to the National Health Authority, health records continue to be created and stored by healthcare providers, while ABDM facilitates secure exchange between intended stakeholders after patient consent.

This distinction is important when thinking about data privacy.

ABDM is primarily an interoperability and consent-based exchange framework. It does not replace the responsibilities of individual healthcare organizations that collect and process patient information.

What is the DPDP Act?

The Digital Personal Data Protection Act, 2023 establishes a legal framework for processing digital personal data in India.

The Act is designed to balance two objectives:

1. Protecting an individual’s right to protect their personal data.
2. Allowing organizations to process personal data for lawful purposes.

The Act defines important roles such as:

• Data Principal — the individual to whom the personal data relates.
• Data Fiduciary — the entity that determines the purpose and means of processing personal data.
• Data Processor — an entity that processes personal data on behalf of a Data Fiduciary.
• Consent Manager — an entity that can act as a point of contact through which individuals can give, manage, review, and withdraw consent.

The Act also establishes rights for individuals and obligations for organizations processing personal data.

For healthcare organizations, these concepts become particularly important because healthcare systems routinely handle highly sensitive information such as patient identities, prescriptions, laboratory reports, diagnoses, treatment information, and discharge summaries.

How are ABDM and the DPDP Act connected?

ABDM and the DPDP Act are not the same thing.

ABDM is a digital health ecosystem and interoperability framework.

The DPDP Act is a data-protection law.

However, they intersect wherever personal data is collected, processed, accessed, transferred, or shared through digital healthcare systems.

Consider a simple example.

A patient visits a hospital.

The hospital creates a digital medical record containing:

• Patient identification information
• Consultation details
• Diagnosis
• Prescription
• Laboratory reports
• Imaging reports
• Treatment information

The hospital’s software may then integrate with ABDM so that relevant health information can be made available for exchange through ABDM-enabled workflows.

At this point, several questions arise:

• What information is being processed?
• Why is it being processed?
• Has the patient been appropriately informed?
• What consent is required?
• Who can access the information?
• With whom can it be shared?
• How is access recorded?
• How long should the information be retained?
• What happens when the patient exercises applicable rights?
• How is the information protected against unauthorized access?

ABDM addresses the interoperability and consent-based exchange side of this ecosystem, while the applicable data-protection framework establishes broader obligations around personal-data processing.

Consent is a key connection

One of the strongest connections between ABDM and data protection is consent.

ABDM’s Health Data Management Policy is built around privacy and consent principles. The policy emphasizes security and privacy by design and states that interoperability should operate consistently with consent and personal-data protection principles.

The National Health Authority also states that health records are shared with other doctors or healthcare facilities only after the individual’s consent.

The DPDP Act similarly establishes consent as one of the legal bases for processing personal data and sets requirements around valid consent.

The practical lesson for healthcare organizations is simple:

Consent should not be treated as a checkbox. It should be treated as a managed data lifecycle.

A robust digital health system should be able to understand:

Who gave consent → For what purpose → What data → To whom → For how long → Can it be withdrawn?

What does this mean for a hospital?

For a hospital, ABDM integration is not just an API integration exercise.

The hospital needs to consider how ABDM workflows interact with its existing:

• Hospital Information System (HIS)
• Electronic Medical Record (EMR)
• Electronic Health Record (EHR)
• Laboratory Information System (LIS)
• Patient management system
• Billing system
• Appointment system
• Patient portal
• Consent workflows

Suppose a hospital wants to make a patient’s laboratory report available through an ABDM-enabled workflow.

The technical integration might involve:

Hospital LIS → ABDM integration layer → ABDM ecosystem → Authorized healthcare provider

But behind that technical workflow are governance questions:

• Was the patient properly informed?
• Is the requested information necessary for the stated purpose?
• Is the correct patient being identified?
• Is the correct health record being linked?
• Is the recipient authorized?
• Is consent being captured and managed appropriately?
• Is there an audit trail?
• Are appropriate security controls in place?

This is why healthcare organizations should think about ABDM integration as both a technology project and a data-governance project.

Data minimization and purpose limitation

A major principle of responsible data processing is to avoid collecting or processing information without a clear reason.

The ABDM privacy framework already emphasizes collection and use limitation. The official ABHA privacy policy states that personal data should be collected and used only to the extent necessary for the purpose of processing and that processing should have a specific, lawful, and clear purpose.

The DPDP framework reinforces the importance of clearly communicating the purpose for which personal data is processed.

For healthcare providers, this means systems should avoid treating every piece of patient information as automatically available for every workflow.

For example:

A doctor may need access to a patient’s relevant medical history to provide care.

That does not necessarily mean every employee in the organization should have unrestricted access to every patient record.

A well-designed system should therefore implement:

• Role-based access
• Purpose-based access where appropriate
• Minimum necessary access
• Authentication
• Authorization
• Audit logging
• Consent controls
• Data retention controls

Security becomes critical

Healthcare data is particularly attractive to attackers because it can contain a combination of identity, financial, and medical information.

A data breach can expose:

• Names
• Phone numbers
• Addresses
• ABHA-related information
• Medical histories
• Prescriptions
• Diagnostic reports
• Insurance information
• Treatment information

The DPDP Act places obligations on Data Fiduciaries to implement reasonable security safeguards, and it contains provisions dealing with personal-data breaches.

ABDM’s own privacy framework also emphasizes security safeguards, accountability, audit trails, documentation of processing activities, and privacy by design.

For healthcare technology providers, ABDM integration should therefore be built with security from the beginning rather than added later.

Privacy by design and ABDM integration

One of the most useful concepts for organizations implementing ABDM is privacy by design.

Instead of asking:

“How do we make our existing software compliant?“

a better question is:

“How should we design our software so privacy and security are built into every healthcare-data workflow?“

For example, an ABDM-ready healthcare platform could incorporate:

Consent management

Patients should have appropriate mechanisms to provide, manage, and where applicable withdraw consent.

Access control

Only authorized users should be able to access relevant patient information.

Audit trails

The organization should be able to determine who accessed or processed data and when.

Data minimization

Only information required for a particular workflow should be processed.

Encryption

Data should be appropriately protected during transmission and storage.

Retention controls

Organizations should have defined policies governing how long different categories of information are retained.

Breach management

Organizations should have processes for detecting, responding to, and reporting applicable personal-data breaches.

Patient rights

Systems should be designed to support applicable rights and grievance mechanisms.

ABDM’s privacy policy itself highlights privacy by design, audit trails, data-processing records, security safeguards, and data protection impact assessments for processing involving new technologies or significant risks.

What about healthcare software companies?

The ABDM-DPDP relationship is especially important for companies that build:

• HMIS software
• EMR/EHR platforms
• Clinic management software
• LIS platforms
• Pharmacy software
• Telemedicine platforms
• Digital health applications
• Patient health record applications
• Health-tech APIs

These companies often sit between healthcare providers and digital health networks.

An HMIS vendor, for example, may process patient information on behalf of a hospital.

Under the DPDP Act, understanding the organization’s role in a particular processing activity—such as whether it acts as a Data Fiduciary or Data Processor—is important.

At the same time, its software may need to interact with ABDM’s interoperability infrastructure.

This means an ABDM integration architecture should be designed with both technical interoperability and data governance in mind.

Can ABDM integration itself make an organization DPDP compliant?

No.

This is an important distinction.

Integrating with ABDM does not automatically make a hospital, clinic, laboratory, or software provider compliant with every obligation applicable under the DPDP framework.

Similarly, having a privacy policy alone does not make an organization compliant.

Compliance depends on factors including:

• What personal data is processed
• Why it is processed
• The organization’s role
• The legal basis for processing
• Notices provided to individuals
• Consent mechanisms where applicable
• Security safeguards
• Data-sharing arrangements
• Retention practices
• Data-subject rights processes
• Vendor and processor management
• Breach response
• Applicable rules and notifications

ABDM integration can, however, provide an important technical foundation for consent-aware and secure health-information exchange.

What changed with the DPDP Rules, 2025?

The regulatory picture is also evolving.

The Government notified the Digital Personal Data Protection Rules, 2025 on 13 November 2025. The rules specify different commencement timelines for different provisions. Some provisions came into force upon publication, while other provisions have delayed commencement periods.

The Rules provide additional detail around areas such as:

• Notices to Data Principals
• Consent-related requirements
• Security safeguards
• Personal-data breach procedures
• Rights-related mechanisms
• Certain obligations for Data Fiduciaries and Data Processors

For healthcare organizations, this means data-governance programs should not be treated as a one-time compliance project.

They should evolve as the Act, Rules, notifications, and sector-specific requirements become operational.

ABDM + DPDP: A practical framework for healthcare organizations

A healthcare organization preparing for ABDM integration can use the following framework.

1. Map your data

Identify what personal data your organization collects and where it flows.

For example:

Patient registration → EMR → LIS → Billing → ABDM-enabled workflow → Authorized recipient

Document the systems and organizations involved at every stage.

2. Identify the purpose

For every major processing activity, establish why the data is being processed.

Avoid vague purposes such as:

“For healthcare purposes.”

Instead, define the operational purpose clearly.

3. Identify roles

Determine which organization is acting as the Data Fiduciary and which parties are acting as Data Processors for each relevant processing activity.

4. Build consent workflows

Where consent is the applicable basis, ensure that consent is appropriately captured, linked to the relevant purpose, and managed throughout its lifecycle.

5. Control access

Implement appropriate authentication, authorization, and role-based access.

A receptionist, doctor, laboratory technician, administrator, and IT administrator should not automatically have identical access to patient information.

6. Maintain audit trails

Record relevant events such as:

• Authentication
• Record access
• Data sharing
• Consent events
• Administrative changes
• Data exports
• Relevant configuration changes

7. Protect data

Use appropriate security measures for data in transit and at rest, along with access controls and monitoring.

8. Define retention policies

Determine how long different categories of information need to be retained and establish processes for deletion or other appropriate disposition when retention is no longer required, subject to applicable legal and professional requirements.

9. Prepare for data breaches

Create an incident-response process before a breach happens.

The process should cover:

Detection → Investigation → Containment → Assessment → Notification where required → Remediation → Documentation

10. Review third-party integrations

Healthcare organizations should understand what vendors and processors are doing with patient information and ensure appropriate contractual and technical controls are in place.

How an ABDM Connector can help

Building ABDM integration entirely from scratch can require significant engineering and compliance effort.

A dedicated ABDM Connector can provide an integration layer between an organization’s existing healthcare software and the ABDM ecosystem.

Instead of rebuilding the existing HIS, EMR, HMIS, or LIS, organizations can connect their systems through a standardized integration layer.

Conceptually:

Existing Healthcare Software

↓

ABDM Connector

↓

ABDM Ecosystem

This architecture can help organizations centralize important integration capabilities such as:

• ABDM APIs
• Health-record exchange workflows
• Consent-related workflows
• FHIR/data mapping
• Authentication
• API security
• Logging
• Monitoring
• Error handling
• Integration management

However, a connector should not be positioned as a magic “compliance button.”

The healthcare organization remains responsible for understanding its own data-processing activities and implementing the policies, controls, contracts, and operational processes applicable to it.

Why this matters for doctors and hospitals

For healthcare professionals, the benefit of connecting ABDM and privacy-conscious digital infrastructure is not only regulatory.

It can also improve the way healthcare is delivered.

A well-designed digital workflow can reduce repetitive administrative work while enabling authorized access to relevant patient information.

For example, instead of manually requesting and transferring records, an authorized healthcare provider can potentially access relevant digital health information through appropriate ABDM-enabled workflows and patient consent.

This can help with:

• Faster access to patient history
• Reduced paperwork
• Less manual record transfer
• Better continuity of care
• More structured digital records
• Improved interoperability between healthcare systems

The underlying principle is important:

Digital health should make information easier to use without making personal health information easier to misuse.

ABDM and DPDP are complementary

It is useful to think of the relationship this way: