AI CHATBOT × HEALTHTECH

Healthcare AI chatbots with compliance and guardrails

Patient triage, doctor assistance, pre-consultation: GDPR-compliant health AI chatbots with medical RAG and systematic human fallback.

Health chatbot

What you get

  • Strict RAG on validated medical sources
  • Mandatory human fallback on low confidence
  • Health GDPR compliance and logging
  • No possible hallucination on diagnosis

They trust us

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Combo stakes

A health chatbot cannot afford to hallucinate

In healthcare, an LLM hallucination can lead to medical error. A chatbot inventing a medication, dosage or contraindication is a health and legal disaster.

Health chatbots that work aren't "free medical GPTs" — they're tightly framed systems, with strict RAG, validation, and systematic human fallback on risky cases.

Our approach

A health chatbot with the right guardrails

We build health chatbots with strict RAG on validated medical sources (Vidal, HAS, internal protocols), structured outputs to constrain responses, and systematic human fallback to a caregiver as soon as confidence drops.

Use cases that really work: pre-consultation triage, patient FAQ, care pathway guidance. Cases where AI should NEVER act alone: diagnosis, prescription, medical decision.

Module: 03

Frequently asked questions

Administrative triage yes (direction to the right service, prerequisites verification, information collection). Strict clinical medical triage no, without human supervision.

The boundary must be clear: AI pre-qualifies, caregiver decides.

HDS hosting, end-to-end encryption, pseudonymization for analytics, complete access logging, granular consent management.

Sensitive data is treated with rigor superior to a classic commercial chatbot.

Claude (reasoning + safety) or GPT-4 (tools) for most cases. For ultra-sensitive data, Mistral or open-source models hosted internally.

We decide based on your volumes, budget and data sensitivity.

Let’s talk about your project

A web or mobile application to launch, or a product to accelerate?
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See our work