Brasil

Brazil, health technology and AI for digital medicine

Brazil needs to treat AI in healthcare as care technology, digital product, sensitive data and institutional governance at the same time.

How to position health technology, AI, digital medicine and governance in Brazil with CFM, Anvisa, LGPD, validation and technical reference.

01

Adoção responsável de IA em saúde no Brasil

Regulação, implantação e responsabilidade clínica

A decisão institucional precisa reunir regulação, implantação, responsabilidade médica, proteção de dados, possível enquadramento como SaMD, validação local e monitoramento do uso real.

02

Health technology grounded in clinical practice

From digital product to clinical risk

The adoption of medical AI is not just a software choice. It requires understanding of clinical workflow, governance, privacy, documentation, local validation and monitoring.

03

Da avaliação à implantação

Evidência, documentação e monitoramento

A implantação deve registrar finalidade, fluxo afetado, critérios de validação, responsáveis, limites de uso, resposta a incidentes e condições para suspender ou atualizar a ferramenta.

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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