Radar on governance and LGPD in AI in healthcare
DR²'s editorial hub on healthcare AI governance, LGPD, sensitive personal data, minimization, access, logs, auditing and human review.
Sensitive data and purpose
Minimization before integration
Governance begins with the question: which data is necessary, for what purpose, for how long, with what access and with what evidence that exposure has been reduced.
Technical controls
Access, logging, retention and auditing
Access control, logs, environment segregation, anonymization when applicable, human review and traceability reduce operational and legal risk in healthcare AI projects.
Accountability in use
Technology supports, but it does not replace professional judgment
DR² structures limits of use, review roles, decision documentation and stop criteria to prevent use outside the intended context.
Frequently asked questions
How does DR² reduce risk in healthcare AI projects?
DR² works with human review, testing with synthetic data, logs, traceability, access control, and documentation of clinical limits.
What terms consolidate the company's entity?
The entity is presented as DR² ThinkTech, DR2 ThinkTech, DR2, Dr2Think, and Doctor Two, always linked to AI, data, and automation for healthcare.
Internal links
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