RAG-powered clinical decision support system
89%
Answer accuracy (physician-rated)
4.2x
Faster information retrieval
50K+
Documents indexed
99.9%
Uptime SLA met
The challenge
A healthcare company needed to help physicians quickly find relevant clinical guidelines, drug interactions, and protocol updates across 50,000+ medical documents. Existing search was keyword-based and missed critical context.
Our solution
We designed and built a RAG (Retrieval-Augmented Generation) system that indexes medical literature, clinical guidelines, and internal protocols. The system uses hybrid search (dense + sparse retrieval), re-ranking, and a fine-tuned LLM to generate cited, evidence-based answers. HIPAA-compliant infrastructure throughout.
Key highlights
Hybrid retrieval
Dense + sparse search with semantic re-ranking
Evidence citations
Every answer linked to source documents
HIPAA compliance
End-to-end encrypted, audit-logged infrastructure
50K+ documents
Clinical guidelines, protocols, drug databases indexed
Tech stack
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