Data protection law for health profiling systems

Introduction

Health profiling systems use personal information to analyse an individual's health conditions, medical history, lifestyle, genetic characteristics, and possible future health risks. These systems are increasingly used by hospitals, insurance companies, pharmaceutical businesses, diagnostic laboratories, wearable devices, and digital healthcare platforms.

Health profiling may involve artificial intelligence, machine learning, predictive analytics, and automated decision-making. For example, an application may analyse a person's medical history and activity records to predict the risk of developing diabetes or cardiovascular disease.

Although these technologies can improve diagnosis and preventive healthcare, they also create risks involving privacy violations, discrimination, inaccurate predictions, and unauthorized disclosure of sensitive medical information. Data protection law therefore plays an important role in regulating how health profiling systems collect, analyse, store, and share personal information.

Meaning and scope of health profiling

Health profiling refers to the automated or systematic evaluation of personal information to assess an individual's health status, behaviour, medical risks, or future healthcare requirements.

Common examples include:

Predicting disease risks through medical and genetic information.

Analysing wearable-device data to monitor physical activity and health conditions.

Classifying patients according to medical risk.

Using health profiles to recommend treatments or medicines.

Assessing insurance applicants through medical and lifestyle information.

Identifying individuals who may require preventive medical intervention.

Health profiling becomes legally sensitive when information is used to make decisions affecting medical treatment, insurance eligibility, employment, or access to healthcare services.

Legal framework in India

The Digital Personal Data Protection Act, 2023 provides a general framework for processing digital personal data. Health information that identifies an individual or can be linked to an identifiable person falls within its scope.

The Act establishes obligations relating to lawful processing, notice, consent, security safeguards, and erasure, subject to applicable exceptions. Data fiduciaries operating health profiling systems must ensure that personal information is processed for lawful purposes and protected against unauthorized access.

However, the Act does not create a separate statutory category for health data or establish a comprehensive, independent framework specifically governing automated health profiling.

The Information Technology Act, 2000, together with the Information Technology (Reasonable Security Practices and Procedures and Sensitive Personal Data or Information) Rules, 2011, has also addressed the protection of medical records and health information. Its continuing application must be considered alongside the newer data protection framework.

Article 21 of the Constitution provides an additional foundation through the fundamental right to privacy. Healthcare institutions must also consider applicable medical confidentiality obligations and professional ethical standards.

International legal framework

The General Data Protection Regulation (GDPR) provides extensive protection for health profiling activities.

Article 5 establishes principles of purpose limitation, data minimization, accuracy, and storage limitation.

Article 9 provides additional protection for health data as a special category of personal data.

Article 22 regulates certain decisions based solely on automated processing that produce legal or similarly significant effects.

Article 35 requires a Data Protection Impact Assessment in specified high-risk processing situations.

The UNESCO Universal Declaration on Bioethics and Human Rights, 2005 emphasizes privacy, confidentiality, human dignity, and protection of individuals participating in biomedical research.

Important case laws

1. Justice K.S. Puttaswamy v. Union of India (2017)

The Supreme Court of India recognized privacy as a fundamental right under Article 21. The judgment established that informational privacy and individual autonomy deserve constitutional protection. Its principles are relevant to health profiling because collecting and analysing medical information without adequate justification may interfere with personal privacy.

2. Mr. X v. Hospital Z (1998)

The Supreme Court considered the confidentiality of medical information in the context of HIV-related information. It recognized the importance of medical privacy while also examining circumstances in which disclosure may be justified to protect another person's interests. The decision demonstrates that health information requires careful handling and that confidentiality is subject to limited legal exceptions.

3. S. and Marper v. United Kingdom (2008)

The European Court of Human Rights held that the indefinite retention of DNA profiles and fingerprints of individuals who had not been convicted violated Article 8 of the European Convention on Human Rights. Although the case concerned DNA databases rather than health profiling, it illustrates the privacy risks associated with retaining sensitive biological information without sufficient justification.

4. SCHUFA Holding AG v. Verbraucherzentrale Bundesverband (2023)

The Court of Justice of the European Union examined automated credit scoring under GDPR Article 22. It clarified that automated scoring may fall within the rules on automated individual decision-making when a third party relies on the score to make a significant decision. The reasoning is relevant where healthcare or insurance organizations rely on automated health scores to make consequential decisions.

Compliance requirements and challenges

Organizations operating health profiling systems should adopt the following safeguards:

Obtain valid consent or identify another applicable legal basis for processing health information.

Collect only information necessary for the intended profiling purpose.

Explain how automated analysis affects individuals.

Maintain accuracy and regularly review profiling algorithms.

Restrict access to authorized healthcare and research personnel.

Use encryption, access controls, and secure storage systems.

Assess discriminatory outcomes and potential algorithmic bias.

Establish procedures for correcting inaccurate information and addressing complaints.

A significant challenge is that health profiling algorithms may produce incorrect predictions or disadvantage individuals based on incomplete medical records. Organizations must therefore ensure that automated assessments do not replace appropriate medical judgment where professional evaluation is necessary.

Conclusion

Data protection law for health profiling systems is essential for safeguarding medical privacy, individual autonomy, and fair treatment. Indian constitutional principles, the Digital Personal Data Protection Act, 2023, and international standards such as the GDPR provide important foundations for regulating health-related data processing. Judicial decisions including Puttaswamy, Mr. X v. Hospital Z, and SCHUFA demonstrate the importance of confidentiality, proportionality, and safeguards against harmful automated decisions. Effective regulation should encourage healthcare innovation while preventing discrimination, unauthorized profiling, and misuse of sensitive health information.