iYara Health: AI That Works
In the Real World
Building clinically-meaningful AI for healthcare delivery in West Africa. Not chatbots — real clinical intelligence that handles hallucinations, multi-language NLP, and offline scenarios.
Not Just Another Chatbot
iYara's AI handles the hard problems that tutorials don't teach: clinical hallucinations where wrong answers can harm patients, multi-language NLP in French and local languages, and edge inference when connectivity fails.
Healthcare AI That Actually Works
Most "AI healthcare" solutions are glorified chatbots. They work in demos, fail in production. The West African healthcare context makes this worse: variable connectivity, multiple languages, limited documentation, and patients who can't afford wrong answers.
iYara needed AI that could handle real clinical workflows — not just answer questions, but reason about symptoms, transcribe consultations in real-time, generate accurate medical notes, and predict no-shows. All while maintaining GDPR/HDS compliance and working on 3G networks.
The challenge wasn't just technical. It was building AI systems where hallucinations can harm patients, where context windows must handle hour-long consultations, and where latency during transcription breaks the doctor-patient flow.
Hallucination risk
Wrong AI answers can harm patients
Multi-language NLP
French + local languages in clinical context
Real-time latency
Transcription can't lag behind speech
Offline requirement
Must work on unreliable connectivity
Five Production AI Systems
Not one chatbot — five distinct AI systems, each solving different clinical problems
Intelligent Triage
Natural language symptom intake with medical knowledge graph-powered reasoning. Urgency classification (Emergency, Urgent, Routine) with provider specialty matching.
Ambient Clinical Intelligence
Real-time consultation transcription with automatic medical note generation, ICD coding suggestions, and drug interaction alerts during prescribing.
Predictive Health Insights
Pattern recognition across patient history. Appointment no-show prediction, chronic disease monitoring alerts, and population health analytics for providers.
Voice-Enabled Accessibility
Voice input for low-literacy users, audio playback of instructions. Multi-language ASR supporting French and local languages.
Edge AI Inference
Critical for AfricaWhen connectivity fails, AI doesn't. Lightweight models run directly on device for core triage functionality. Automatic sync when online, with conflict resolution for data created offline. Priority queue ensures critical patient data syncs first.
Handling Hallucinations in Healthcare
When a chatbot hallucinates about restaurant hours, it's annoying. When clinical AI hallucinates about symptoms, it's dangerous. Here's how we solved it.
The Problem
- • LLMs confidently make up medical information
- • Generic models don't know local disease prevalence
- • Drug interactions require current, accurate data
- • Context windows lose important history in long consultations
Our Solution
- • Medical knowledge graph grounds all reasoning in verified facts
- • RAG pipeline retrieves relevant context before generating
- • Confidence scoring flags uncertain outputs for human review
- • Hierarchical summarization preserves context across long sessions
The Anti-Hallucination Pipeline
Input
Symptom description in French or local language
Retrieval
Query medical knowledge graph + patient history
Generation
LLM generates with grounded context only
Validation
Confidence check + citation to source facts
Beyond AI: The Full Ecosystem
AI is powerful, but it's just one piece. Here's the complete healthcare delivery platform.
Intelligent Booking
Real-time availability, AI-powered specialty matching, SMS confirmations for non-smartphone users.
Teleconsultation
WebRTC video with adaptive quality for 3G. End-to-end encryption. AI-assisted consultation notes.
Clinic Management
Calendar, patient records, inventory tracking, revenue analytics, staff permissions.
Pharmacy Network
Real-time inventory visibility, prescription routing, drug interaction warnings, generic alternatives.
Escrow Payments
Payment held until service completion. Mobile money + cards + cash points. Dispute resolution.
Compliance
GDPR + APDP (Benin) + HDS (France). End-to-end encryption. Patient consent management. Right to erasure.
The Stack
AI & ML Stack
Backend
Mobile & Frontend
PWA chosen for maximum accessibility in low-connectivity regions — no app store required.
Security & Compliance
What I Learned
" Production AI isn't about having the best model — it's about knowing when NOT to use AI. Every system we built has explicit fallback paths to human review. The goal isn't automation for its own sake; it's improving patient outcomes. Sometimes that means the AI says "I don't know, let me get a doctor." "
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