Case study: Oreol, an AI concierge for patients navigating healthcare

Industry: Digital health
Area: AI assistant
Technology: RAG · iOS/Android · Telegram

Studio in-house product. Oreol is an assistant that helps patients interpret symptoms and decide whether a doctor visit is needed.

RAGon clinical protocols
2025in active development

Context

Symptom information online is fragmented — some sources alarm, others understate risk. Patients struggle to assess whether their condition needs medical attention.

Task

Build a product that evaluates symptoms and routes the patient — strictly on clinical protocols.

Implementation

RAG over clinical protocols — every response is sourced
Flow: symptom description → situation assessment → in-bot doctor booking
Mobile app on React Native (iOS, Android)
Backend on FastAPI + PostgreSQL with OpenAI API integration
Telegram bot on aiogram
UX/UI in Figma — a single team owned product, design, backend, web, and mobile

Project in active development since 2025.

Results

Symptom assessment and routing in a single flow
Responses strictly on clinical protocols — no hallucinations
Doctor booking directly from chat

The service does not replace a doctor and does not diagnose. The final medical decision remains with the specialist.

Case study: Oreol, an AI concierge for patients navigating healthcare

Context

Task

Implementation

Results

Related solutions

More case studies

Tell us what needs to work better