FHIR
Enables LLMs to securely interact with FHIR servers and HL7 terminology services, providing a comprehensive toolset for healthcare interoperability.
About
FHIR is an open-source server built on the Model Context Protocol (MCP) designed to facilitate secure and compliant interactions between Large Language Models (LLMs) and vital healthcare data systems. It serves as an intelligent, secure bridge to FHIR servers and HL7 terminology services, offering enterprise-grade security hardening, advanced PHI protection with masking and redaction, and HIPAA-compliant audit logging. The server is token-efficient, supports all major FHIR operations, and provides a production-ready HTTP Bridge for integrating with web-based AI assistants and applications, ensuring data privacy and regulatory compliance in healthcare AI solutions.
Key Features
- Enterprise-grade Security: OWASP-compliant hardening with multi-tier rate limiting and input validation.
- PHI Protection: Advanced masking, classification, and redaction of sensitive healthcare data.
- Comprehensive FHIR Support: Read, search, create, and update operations with various FHIR servers.
- HL7 Terminology Services: ValueSet expansion, CodeSystem lookup, and concept translation.
- HIPAA-Compliant Audit Logging: Structured logging with trace IDs and PHI-safe redaction.
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Use Cases
- Developing secure web applications that require interoperability with FHIR and HL7 terminology services via a REST API.
- Ensuring regulatory compliance (HIPAA) and data privacy for healthcare data interactions in AI-driven systems.
- Enabling LLMs to securely query and manipulate FHIR resources while protecting sensitive patient information.
