Medical LLM with source, limits and human review
Medical LLM for documents, protocols, summaries, agents, clinical RAG, audit, validation, sources and limits of use in healthcare.
Possible uses
Protocols, documents, summaries and audit
LLMs can support document search, synthesis, text standardization, coherence checking and the creation of interfaces for institutional knowledge.
Hallucination, weak sourcing and incomplete context
Validation before use in a sensitive routine
Validation should measure consistency, source quality, response when evidence is lacking, behavior in ambiguous situations and the risk of misuse.
Secure architecture
RAG, logs, access control and review
The architecture must separate sensitive data, retrieved context, system instructions, logs, user roles and human decision.
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
Evaluating LLM use in healthcare