RAG

Clinical RAG with source and version control

Clinical RAG connects language models to institutional documents, but it does not by itself eliminate the risk of a wrong answer.

Clinical RAG for protocols, medical documents, audit, training, summaries and AI agents with source, version and traceability.

01

What it is for

Protocols, audit and training

RAG can support search across protocols, opinions, internal documents, synthetic medical record audit, training and standardization of sourced answers.

02

Limites

A source does not guarantee a correct response

It is necessary to test retrieval, citation, document version, question coverage, answers without evidence and behavior in source conflicts.

03

Document governance

Version, access and traceability

Protocols need version control, scope, permission, metadata, update date and an audit trail.

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