Clinical Document Intelligence Pipeline
On-premise RAG pipeline processing 2M+ clinical documents with 94% retrieval accuracy. Full HIPAA compliance with zero data leaving the hospital network.
Documents Processed, Zero Exposure
Regional Health Network
The Challenge
A regional health network with 8 hospitals needed clinicians to find relevant patient history, research protocols, and compliance guidelines across 2M+ unstructured documents scattered across EMR systems, shared drives, and legacy archives. Average search time: 22 minutes per query. Clinicians were spending more time searching than treating.
Our Solution
Deployed an on-premise RAG system with document ingestion, chunking, embedding, and retrieval — all running within the hospital network. Role-based access ensures clinicians only see documents they are authorized to access. Every query is logged for HIPAA audit trails.
System Architecture
Document Ingestion
Processes PDF, DICOM metadata, HL7 messages, clinical notes from 8 source systems
Chunking & Embedding
Medical-aware text splitting with semantic boundary detection. Bio-medical embedding model fine-tuned on clinical corpus
Vector Store
On-premise Qdrant cluster with encryption at rest
Retrieval Agent
Hybrid search combining dense vectors, BM25 keyword matching, and metadata filters
Citation Engine
Every response traces back to source document, page, and paragraph
Results
“Our clinicians got 22 minutes back per search. Multiply that by hundreds of queries per day across 8 hospitals.”
Technology Stack
Have a similar challenge?
30 minutes. No commitment. Real technical conversation.
Schedule a Scoping Call