Summary

Under Article 35, a DPIA is mandatory before processing health data at scale. This is not optional for HealthTech — it is a legal requirement triggered by the nature of the data itself. Article 37 requires HealthTech companies to appoint a DPO if they carry out large-scale processing of special category data. For most HealthTech platforms, this threshold is easily met. Article 25 requires HealthTech companies to embed data protection into their product architecture from day one — not as an afterthought.

GDPR Requirements List for HealthTech: A Complete Compliance Guide

Healthcare technology companies face some of the most demanding data protection obligations under the General Data Protection Regulation. When your platform handles patient records, diagnostic data, wearable device outputs, or mental health information, virtually every GDPR principle is in play — and the stakes for non-compliance are severe. This guide breaks down every key GDPR requirement for HealthTech companies, so you can build a compliant product from the ground up.

Why GDPR Hits HealthTech Harder Than Other Industries

Health data is explicitly classified as a special category of personal data under GDPR Article 9. This means standard data protection measures are not enough. HealthTech companies must meet elevated requirements across consent, processing restrictions, security controls, and documentation — all while maintaining a seamless user experience.

Fines for mishandling health data can reach €20 million or 4% of global annual turnover, whichever is higher. Beyond financial penalties, a data breach involving patient information can permanently damage user trust and trigger regulatory investigations across multiple EU member states.

The Core GDPR Requirements List for HealthTech

1. Establish a Lawful Basis for Processing Health Data

Before collecting any health information, you must identify a valid legal basis under Article 6 and a specific condition under Article 9(2) for processing special category data.

Common lawful bases for HealthTech include:

Explicit consent (Article 9(2)(a)) — the most frequently used basis for consumer health apps
Vital interests (Article 9(2)©) — applicable in emergency care scenarios
Healthcare provision (Article 9(2)(h)) — for platforms supporting medical professionals
Public interest in public health (Article 9(2)(i)) — relevant for health research tools
Research purposes (Article 9(2)(j)) — with appropriate safeguards

Consent in HealthTech must be explicit, informed, freely given, and granular. Bundled consent forms that cover multiple processing activities in a single checkbox will not meet this standard.

2. Conduct a Data Protection Impact Assessment (DPIA)

Under Article 35, a DPIA is mandatory before processing health data at scale. This is not optional for HealthTech — it is a legal requirement triggered by the nature of the data itself.

Your DPIA must:

Describe the processing activities and their purposes
Assess the necessity and proportionality of the processing
Identify risks to the rights and freedoms of data subjects
Define mitigation measures for each identified risk
Be reviewed and updated when processing activities change

If your DPIA reveals a high residual risk that cannot be mitigated, you must consult your national supervisory authority before launching the feature or product.

3. Appoint a Data Protection Officer (DPO)

Article 37 requires HealthTech companies to appoint a DPO if they carry out large-scale processing of special category data. For most HealthTech platforms, this threshold is easily met.

The DPO must:

Have expert knowledge of data protection law
Operate independently, without conflicts of interest
Be accessible to data subjects and supervisory authorities
Report directly to the highest level of management

The DPO can be an internal employee or an external consultant. Their contact details must be published in your privacy notice and registered with your national supervisory authority.

4. Implement Privacy by Design and by Default

Article 25 requires HealthTech companies to embed data protection into their product architecture from day one — not as an afterthought.

Practical implementation includes:

Collecting only the minimum data necessary for each function (data minimisation)
Applying pseudonymisation or anonymisation wherever feasible
Setting privacy-protective defaults (e.g., no unnecessary data sharing enabled by default)
Designing access controls so only authorised personnel can view health records
Building data retention limits directly into your system logic

5. Maintain Comprehensive Records of Processing Activities (ROPA)

Under Article 30, HealthTech companies must maintain a detailed Record of Processing Activities. This document is your compliance backbone and will be the first thing a supervisory authority requests during an investigation.

Your ROPA should document:

The name and contact details of the controller and DPO
The purposes of each processing activity
Categories of data subjects and personal data
Recipients of the data, including third-party processors
International data transfers and safeguards applied
Retention periods for each data category
A description of technical and organisational security measures

6. Enforce Strict Data Subject Rights

GDPR grants individuals powerful rights over their health data. HealthTech platforms must build processes — not just policies — to honour these rights within statutory timeframes.

Key rights to operationalise:

Right of access (Article 15): Provide a copy of all data held within 30 days
Right to rectification (Article 16): Correct inaccurate health records promptly
Right to erasure (Article 17): Delete data when consent is withdrawn or data is no longer necessary
Right to data portability (Article 20): Export data in a machine-readable format
Right to restriction (Article 18): Pause processing during disputes
Right to object (Article 21): Honour objections to certain processing activities

Build a dedicated Data Subject Request (DSR) workflow with documented response procedures and audit trails.

7. Secure Data with Appropriate Technical Measures

Article 32 requires security measures appropriate to the risk. For health data, this sets a high bar.

Essential technical controls for HealthTech:

End-to-end encryption for data in transit and at rest
Multi-factor authentication for all user and admin accounts
Role-based access controls with least-privilege principles
Regular penetration testing and vulnerability assessments
Audit logs for all access to patient data
Secure data backup and disaster recovery procedures

8. Manage Third-Party Processors with Data Processing Agreements

Every vendor, cloud provider, or API partner that touches your health data is a data processor under GDPR. Article 28 requires a written Data Processing Agreement (DPA) with each one.

Your DPAs must specify:

The subject matter and duration of processing
The nature and purpose of the processing
The type of personal data and categories of data subjects
Obligations and rights of the controller
Sub-processing restrictions and notification requirements
Security obligations and breach notification procedures

Audit your vendor list regularly. A single non-compliant processor can expose your entire platform to liability.

9. Establish a Breach Notification Procedure

Under Articles 33 and 34, HealthTech companies must notify their supervisory authority within 72 hours of becoming aware of a personal data breach. If the breach poses a high risk to individuals, affected users must also be notified without undue delay.

Your incident response plan should include:

Clear internal escalation paths and roles
A breach assessment checklist to determine notification thresholds
Template notifications for both regulators and data subjects
A breach register documenting all incidents, even those below the notification threshold

10. Govern International Data Transfers

If your HealthTech platform transfers health data outside the EEA, you must ensure an appropriate safeguard is in place under Chapter V. Options include:

Adequacy decisions for approved countries
Standard Contractual Clauses (SCCs) with a Transfer Impact Assessment
Binding Corporate Rules for intra-group transfers
Approved certification mechanisms

Post-Schrems II, Transfer Impact Assessments are effectively mandatory for transfers to the United States and other countries without adequacy decisions.

GDPR Compliance Checklist Summary for HealthTech

Requirement	Article	Priority
Lawful basis for health data processing	6 & 9	Critical
DPIA completed	35	Critical
DPO appointed	37	Critical
Privacy by Design implemented	25	High
ROPA maintained	30	High
Data subject rights workflows	15–21	High
Technical security measures	32	Critical
Data Processing Agreements in place	28	High
Breach notification procedure	33 & 34	Critical
International transfer safeguards	44–49	High

Frequently Asked Questions

Does GDPR apply to HealthTech companies based outside the EU?

Yes. GDPR applies to any organisation that processes the personal data of individuals located in the EU, regardless of where the company is based. If your app is available to EU users, GDPR applies to you.

Is anonymised health data subject to GDPR?

Truly anonymised data — where re-identification is impossible — falls outside GDPR’s scope. However, pseudonymised data (where re-identification is possible with additional information) is still considered personal data and remains subject to GDPR requirements.

How long can HealthTech companies retain patient data?

There is no single retention period under GDPR. You must define retention periods based on the purpose of processing, any applicable national medical records legislation, and the principle of storage limitation. Retention schedules must be documented in your ROPA.

What is the difference between a data controller and a data processor in HealthTech?

The data controller determines the purposes and means of processing health data — typically the HealthTech company itself. A data processor acts on the controller’s instructions — such as a cloud hosting provider or analytics vendor. Both have distinct GDPR obligations.

Do we need consent to process health data for research purposes?

Not always. Article 9(2)(j) permits processing for scientific research without explicit consent, provided appropriate safeguards are in place, the research is in the public interest, and the processing complies with national law. However, consent remains the safest basis for most commercial HealthTech research features.

Build Your GDPR Compliance Stack Faster

Meeting every requirement on this list demands more than good intentions — it requires structured, audit-ready documentation. Writing DPIAs, DPAs, ROPA templates, DSR workflows, and breach notification procedures from scratch is time-consuming and error-prone.

Our ready-to-use GDPR compliance template bundle for HealthTech gives you everything you need in one package: pre-drafted, legally reviewed documents built specifically for health data environments. Download, customise, and deploy — no legal team required to get started.

👉 Browse our HealthTech GDPR Template Library and get compliant today.