HygiaAI -- Qdrant-Powered Clinical Memory System

HygiaAI: Qdrant-Powered Clinical Memory System HygiaAI is an AI-powered Clinical Memory System for rural and low-resource clinics. It captures doctor–patient conversations, converts them into structured SOAP notes, generates multimodal embeddings (text, labs, imaging), and stores them in Qdrant as long-term semantic memory. The Problem: Doctors in low-resource clinics lack access to prior patient cases or institutional memory. Critical data—past conversations, medical images, test results—often remain fragmented or lost, leading to repeated misdiagnoses and preventable errors. How It Works: Real-time transcription → Medical entity extraction → SOAP note generation → Multimodal embedding (BioBERT/CLIP/AudioCLIP) → Qdrant storage → Instant similar case retrieval (<300ms) → RAG-based clinical insights → Continuous learning. Key Capabilities: Similar case search (top 3–5 past cases), temporal filtering, outbreak detection via clustering, trend analysis, HIPAA/GDPR compliant with local-first deployment. Value: Enables instant retrieval of similar past cases, treatment histories, and clinical patterns—even fully offline. Qdrant's vector search, payload filters, multi-vector embeddings, and temporal clustering make HygiaAI a continuously learning system capable of outbreak detection and trend analysis. By combining multimodal AI + Qdrant, HygiaAI empowers rural doctors with decision support, structured documentation, and clinical knowledge that improves with every patient encounter.