Enables LLMs to interact with clinical patient records using tools for document ingestion, structured conversion, patient profiling, record listing, search, and secure Q&A over patient documentation.
Enables document Q&A and knowledge retrieval through hybrid semantic and keyword search, with tools for document ingestion, chunking, summarization, PII redaction, and RAGAS-based evaluation.
Enables privacy-first medical document analysis with multi-perspective AI review. Ingest documents, run consilium reviews, generate doctor letters, and search patient memory—all through natural language.
Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.
Enables AI-powered medical information retrieval through FHIR clinical document search and GraphRAG-based exploration of medical entities and relationships. Combines vector search with knowledge graph queries for comprehensive healthcare data analysis.
Enables LLMs to securely interact with FHIR healthcare servers and HL7 terminology services. Provides comprehensive healthcare data operations with built-in PHI protection, audit logging, and SMART on FHIR authentication.