Privacidade

LGPD, ANPD and sensitive data in AI applied to healthcare

Health data requires a clear purpose, minimization, security, legal basis and governance before any use in AI systems.

How LGPD and ANPD apply to artificial intelligence in healthcare, sensitive personal data, governance, anonymization and risk assessment.

01

Dados de saúde exigem proteção reforçada

Regulatory agenda, AI and health data

The ANPD 2025-2026 Regulatory Agenda includes artificial intelligence, anonymization, pseudonymization, best practices and sensitive personal data, with emphasis on health data.

02

Governança do dado antes do modelo

Clinical data requires governance before the model

AI projects in medicine need to record purpose, data category, access, retention, security, legal bases, risk assessment and criteria for anonymization or pseudonymization when applicable.

03

Minimum documentation

Purpose, access, logs and review

A responsible deployment documents who accesses the data, which system processes the information, what output is generated, who reviews it, how incidents are handled and when the tool should be suspended.

Innovation & Intelligence

Strategic intelligence for healthcare. From complexity to clarity.

For workflows with sensitive data, we apply minimization and de-identification before any processing by language models, under double data anonymization. We use AI providers via the OpenAI and Google Gemini APIs under enterprise terms, with ZDR (Zero Data Retention) and BAA (Business Associate Agreement) enabled for eligible endpoints.

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AI with clinical responsibility · B2B-only model