Mental Health Data: Enhanced Protection

This page is a translation of the original Portuguese text, provided for convenience. It deals with Brazilian law. If there is any discrepancy, the Portuguese version prevails. Read the original in Portuguese

Mental health data receives enhanced legal protection in Brazil, and companies that handle it without extreme care face severe sanctions from the ANPD (Brazil’s National Data Protection Authority).

Why mental health data requires differentiated protection

Among sensitive personal data, mental health records occupy a uniquely vulnerable position. Brazil’s General Data Protection Law (LGPD) classifies health-related data as sensitive in Article 5, item II, and subjects it to a more restrictive legal regime. Even within that broad category, though, information about psychiatric conditions, psychological counseling, psychotropic medication use, and diagnoses of mental disorders carries a potential for discrimination that, in many practical scenarios, exceeds that of other health data.

There are concrete reasons for this heightened protection. The social stigma attached to mental health conditions remains deeply rooted in Brazilian culture. A leak of information about psychiatric treatment can damage working relationships, hiring processes, insurance applications, and even family ties. Unlike a routine lab test, a psychological or psychiatric report reveals intimate aspects of the data subject’s personality and life history, which makes improper exposure especially harmful.

In the context of data due diligence, this reality places a duty of in-depth investigation on organizations. Before acquiring a company, entering into a partnership, or integrating systems, you need to check whether the databases involved contain mental health records and, if so, what level of technical and legal protection has actually been put in place. Skipping that check can turn an apparently advantageous business deal into a significant regulatory liability.

The applicable legal regime and its practical implications

Article 11 of the LGPD provides that sensitive data may be processed only in an exhaustive list of situations. For mental health data, the most relevant legal bases in practice are the data subject’s specific and prominent consent, the protection of health in a procedure carried out by health professionals or health entities, and compliance with a legal or regulatory obligation. Each of these bases imposes its own requirements, which must be examined in any due diligence process.

Protecting mental health data is not merely a regulatory requirement. It is an ethical commitment to the dignity and privacy of people in a position of emotional vulnerability.

When consent is used as the legal basis, it must meet strict standards of specificity. A generic form authorizing the “processing of health data” is not enough. The data subject must understand exactly what mental health information will be collected, for what specific purpose, how long it will be stored, and with whom it may be shared. Audits show that most consent forms used by health technology companies (healthtechs) and by health plan providers fall short of this level of specificity, which weakens the entire processing chain.

The legal basis for the protection of health, set out in Article 11, item II, subparagraph “f,” requires that processing be carried out exclusively by health professionals, health services, or a health authority. When due diligence reveals that mental health data is being accessed by administrative staff, human resources departments, or artificial intelligence systems without direct clinical supervision, that is an irregularity that can undermine the legitimacy of the entire processing operation.

Beyond the LGPD, you also need to consider the sector-specific regulatory framework. The Federal Council of Medicine and the Federal Council of Psychology have issued specific resolutions on electronic medical records and professional confidentiality that take precedence over the general data protection rules. CFM Resolution No. 1.638/2002, for example, sets criteria for the retention of medical records that directly affect data retention policies. The Psychologist’s Code of Ethics imposes confidentiality duties that may conflict with requests to share data in corporate settings.

Mental health data due diligence: methodology and critical points

When we conduct a due diligence focused on mental health data, we take an approach that goes beyond simply reviewing documents. The process covers five dimensions that we consider indispensable for an adequate risk assessment.

Data mapping and inventory

The first step is to identify every data flow that involves mental health information. This includes not only primary systems (electronic medical records, telemedicine platforms, wellness apps) but also secondary systems through which such data may pass less obviously: HR tools that record leaves of absence by CID (International Classification of Diseases) code, employee assistance programs (EAPs), workplace climate surveys with questions about emotional health, and benefits platforms that process reimbursements for therapy sessions.

Mental health data is often “hidden” in free-text fields, in managers’ notes on employee performance, or in system metadata that, although it does not store diagnoses directly, allows inferences about psychological conditions. This inferred data is also protected by the LGPD and must be mapped.

Assessment of legal bases and purposes

For each data flow identified, you verify whether an adequate legal basis exists and whether the stated purpose matches the actual use of the data. The review covers contracts with data processors, consent forms, privacy policies, and records of processing activities (ROPA). A recurring problem is the use of data collected for a clinical purpose in analytics, product development, or algorithm training, without the data subject having been told about these secondary uses.

Technical security and access controls

Enhanced protection of mental health data requires technical measures proportionate to the risk. The assessment looks at the implementation of encryption (in transit and at rest), role-based access controls (RBAC), audit trails (access logs), pseudonymization or anonymization where applicable, and incident response procedures. You check whether access controls reflect the need-to-know principle, so that only professionals with a legitimate justification can access these records.

Transfers and data sharing

Every transfer of mental health data is mapped, whether between controllers, from controller to processor, or international. Each transfer must be supported by an adequate contractual instrument (a data processing agreement, standard contractual clauses for international transfers) and must stay within the limits of the original purpose. You also check whether data processors (laboratories, outsourced clinics, cloud technology providers) offer sufficient safeguards and whether impact assessments were carried out when the sharing involves elevated risks.

Governance and ongoing compliance

Finally, you assess the maturity of the audited organization’s data governance program. This includes whether it has a data protection officer (DPO), up-to-date internal policies, training programs for employees who handle sensitive data, procedures for responding to data subject rights requests, and ongoing monitoring mechanisms. An organization may be compliant at the moment of due diligence, but without structured governance, deviations tend to appear quickly once the process is over.

Specific risks and exposure scenarios

In the due diligence processes we conduct, we see recurring risk patterns tied to mental health data that deserve special attention from organizations.

The first scenario involves corporate health and wellness programs. Many companies roll out psychological support platforms for employees without properly evaluating the data flows they generate. Information about how often sessions occur, the topics discussed (even in aggregate form), and psychological risk levels can make its way back to the HR department in ways that compromise the employee’s confidentiality. When we acquire or partner with a company that has this kind of program, we inherit not only the data but also the risks of irregular processing.

The second scenario concerns mental health and emotional wellness apps. Brazil’s digital health market has grown significantly in recent years, with dozens of apps offering guided meditation, mood tracking, emotional journals, and connections to therapists. These apps collect extremely sensitive data (sleep patterns, anxiety logs, reports of suicidal ideation) that, in the event of a security incident or misuse, can cause irreparable harm to data subjects.

The third scenario involves system integration after mergers and acquisitions. When two health organizations merge, consolidating electronic medical records and clinical management systems creates windows of vulnerability. Patients’ mental health data may be exposed to professionals who have no therapeutic relationship with the data subject, violating both the LGPD and the ethical rules of the professional councils.

A fourth scenario, increasingly relevant, involves the use of artificial intelligence to analyze mental health data. Screening, risk prediction, and treatment recommendation algorithms process sensitive information at scale, often without data subjects understanding the extent of the automated processing. Article 20 of the LGPD guarantees the right to review automated decisions, which places additional obligations on organizations that use AI in this context.

Recommendations for organizations that handle mental health data

Based on our experience in due diligence processes, we have distilled practical recommendations that we consider essential for organizations that handle mental health data.

First, we recommend preparing a Data Protection Impact Report (RIPD) specifically for operations involving mental health data. Although the ANPD has not yet definitively regulated the cases in which an RIPD is mandatory, our understanding is that processing mental health data is a high-risk situation that justifies preparing this document as a precaution.

Second, we suggest implementing strict data minimization policies. Organizations should collect only the mental health information strictly necessary for the stated purpose, and resist the temptation to accumulate data “for future use.” Minimization reduces the attack surface in the event of an incident and makes it easier to meet regulatory obligations.

We also recommend adopting pseudonymization techniques whenever possible, keeping identifying data and clinical data in separate repositories with controlled linking keys. This measure does not remove the sensitive nature of the data, but it significantly reduces the impact of unauthorized access.

Finally, it is worth stressing the importance of setting up dedicated channels for data subjects to exercise their rights over mental health data. Requests to access, correct, or delete psychological data deserve differentiated treatment, with shorter deadlines and stronger identity verification, given how exceptionally sensitive this information is.

This topic is directly related to data protection, which is addressed in a dedicated article.

To complement your reading, see also the firm’s article on regulatory intersections.

As informações deste artigo são de caráter informativo e não substituem consulta jurídica individualizada. Cada caso possui particularidades que exigem análise específica.