Clinics

AI for medical clinics with safety and practical usefulness

The clinic needs to reduce rework with clear workflows, well-organized data and preserved clinical responsibility.

AI for medical clinics with pre-visit intake, documents, reports, protocols, dashboards, patient service, LGPD and validation before routine use.

01

What can be automated

Pre-visit intake, documents and routine organization

DR² can support administrative triage, pre-visit intake, summaries, reports, checklists, standardized guidance, dashboards and document control.

02

What should not be automated without control

Diagnosis, clinical management and medical responsibility

Individualized clinical decisions require a responsible professional, clinical context and adequate documentation. AI should support, not take over the physician-patient relationship.

03

Data and deployment

Workflows, documents and LGPD

Deployment requires mapping systems, forms, medical records, documents, permissions, legal basis, the need for anonymization and validation criteria.

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