Agentes

AI agents in healthcare with supervision and limits

An AI agent in healthcare needs to know when to act, when to ask for review and when not to answer for lack of evidence.

AI agents in healthcare for administrative triage, documents, protocols, RAG, auditing and operational workflows with human supervision.

01

Where agents help

Operational tasks and institutional knowledge

Agents can support protocol search, document organization, pre-visit intake, checklists, auditing and routing of administrative tasks.

02

Where agents should not act alone

Individualized clinical decision

Clinical management, diagnosis and prescription require a responsible professional. The agent must operate as documented, traceable support.

03

Validation criteria

Source, consistency, logs and fallback

Testing should cover cited sources, incomplete answers, ambiguity, privacy, audit, tool failure and escalation to a human.

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.

© 2026 DR² ThinkTech · All rights reserved

AI with clinical responsibility · B2B-only model