FHIR Healthcare Data
Provides unified access to multiple FHIR healthcare data servers with intelligent server switching, clinical keyword extraction, and patient similarity search for building clinical decision support tools and analyzing patient cohorts across different healthcare systems.
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Universal FHIR MCP server implementation by Kushagra Dutta that provides AI assistants with access to multiple FHIR healthcare data servers including HAPI FHIR, Firely Server, and other major vendor endpoints through a unified interface. The implementation features intelligent server switching, clinical keyword extraction using OpenAI GPT-4, fuzzy matching for mapping clinical terms to FHIR codes, and patient similarity search based on age, gender, and medical conditions. Built with enterprise-grade features including vendor-specific query optimization, comprehensive error handling, and caching mechanisms, it serves healthcare developers building clinical decision support tools, researchers analyzing patient cohorts across different FHIR implementations, and AI applications requiring standardized access to diverse healthcare data sources without managing individual server complexities.
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