AI Research

Conversational Interface

Natural Language Q&A

Ask questions about your medical records in plain English:

• "What is the patient's treatment history?"
• "Summarize all the imaging studies"
• "What medications were prescribed after the accident?"
• "Are there any references to physical therapy?"

HIPAA Compliance

• All conversations are HIPAA compliant
• End-to-end encryption for research data
• No conversation data used for model training

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Research Topics

Multiple Topics

• Create multiple research topics per record
• Organize different research questions separately
• Each topic maintains its own conversation history

Research History

• Grouped by date: Last 30 days, then by month
• Sidebar navigation for quick access to past research
• Most recent topics appear at the top

Topic Management

• Rename topics with custom titles (up to 120 characters)
• Delete topics when no longer needed
• New Topic button to start fresh conversations

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Context & Citations

Page-Aware Responses

• AI responses include citations to source pages
• Click citations to navigate directly to the referenced page
• Multiple citations when information spans pages

Context Panel

• Resizable sidebar showing relevant document excerpts
• Highlighted passages from the source document
• Synchronized navigation between research and PDF viewer

Source Verification

• Every claim can be traced back to the source document
• Page numbers provided for easy verification
• Context excerpts show surrounding text

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Feedback System

Message Rating

• Rate AI responses for quality
• Feedback helps improve future responses
• Simple thumbs up/down interface

Continuous Improvement

• User feedback incorporated into model improvements
• Common questions inform prompt optimization
• Error patterns help refine extraction accuracy

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Best Practices

Effective Questions

• Be specific about what you're looking for
• Include relevant time periods or providers
• Ask follow-up questions to dig deeper

Example Workflows

Legal Research:

1. "What injuries are documented in this record?"
2. "When did treatment begin for the back injury?"
3. "What did Dr. Smith say about the prognosis?"

Medical Review:

1. "Summarize the patient's cardiac history"
2. "What medications is the patient currently taking?"
3. "Are there any contraindications mentioned?"

Insurance Analysis:

1. "What procedures were performed?"
2. "How long was the hospital stay?"
3. "What follow-up care was recommended?"

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Technical Details

Response Generation

• Responses are generated based on the processed record content
• Vector similarity search finds relevant passages
• Large language model synthesizes coherent answers

Limitations

• Cannot answer questions about content not in the record
• Always verify critical information against source documents