Session 3 • 25 minutes

RAG for Clinical Knowledge

Build AI systems grounded in your institutional protocols, research papers, and clinical guidelines

❌ The Problem with Standard AI

✅ RAG Solution

How RAG Works

5 simple steps to grounded AI responses

Add your PDFs, protocols, papers, guidelines

Convert documents into searchable embeddings

When you ask a question, RAG finds relevant passages

AI generates answers using ONLY your documents

Every answer includes source references you can verify

Clinical Applications for Surgeons

"What's our protocol for anticoagulation after mechanical valve replacement?"

RAG Response: Retrieves your specific protocol, cites exact document and page number, provides precise dosing and monitoring guidelines

"What were the inclusion criteria for our 2022 TAVR outcomes study?"

RAG Response: Pulls exact criteria from your IRB protocol and published paper, with citations

"Summarize all papers in my library about AI in cardiac imaging"

RAG Response: Synthesizes findings from YOUR curated collection, not random internet sources

"How did we describe our statistical methods in previous NIH grants?"

RAG Response: Finds relevant passages from your successful grants to reuse proven language

RAG vs. Standard AI

Feature	Standard AI	RAG System
Knowledge Source	General internet data	Your specific documents
Accuracy	Variable, may hallucinate	Grounded in verified sources
Citations	Rarely provided	Always cited with page numbers
Privacy	Data sent to external services	Documents stay in your control
Customization	Limited to general knowledge	Fully customized to your needs
Updates	Model retraining required	Add documents anytime

Try It Yourself: RAG Demo

Upload your own clinical protocols or research papers and see how RAG provides accurate, cited responses

Why RAG Matters for Surgeons

Accuracy & Verifiability

Every response grounded in specific documents with citations

Privacy & Compliance

Your documents never leave your control, HIPAA-compliant

Institutional Knowledge

Captures expertise from protocols and historical documents

Research Efficiency

Query entire research library in seconds, find relevant passages instantly