Automation

Medical automation with human review and traceability

Useful medical automation reduces rework, but it must respect privacy, clinical context and professional responsibility.

Medical automation for summaries, reports, checklists, protocols, pre-visit intake, shift handoff, auditing and indicators.

01

Automatable routines

Documents, checklists and summaries

Automation can support reports, summaries, pre-visit intake, internal protocols, standardized guidance, document auditing and shift handoff.

02

Necessary data

Current models, documents and internal rules

Before automating, DR² analyzes types of care, existing documents, internal rules, data sources and LGPD constraints.

03

Risk control

Clinical limit and supervision

Automation must indicate when it depends on review, when data is missing and when it should not generate an output without human validation.

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