Let AI agents read, validate and acknowledge EDI documents. Parses raw X12 and EDIFACT interchanges into structured JSON, validates envelope integrity, produces plain-language summaries, and generates 997 Functional Acknowledgments.
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 applications to securely search and manage healthcare data from FHIR R4-compliant servers with built-in safety validation for AI-generated clinical observations, preventing recording of physiologically impossible values.
Typed, validated FHIR tools for healthcare AI agents — build, read, validate, and code FHIR resources from a patient bundle, with terminology lookup and machine-readable validation reports built for fix-and-retry.