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Standards

Health Gorilla returns clinical data as structured FHIR R4 resources that follow nationally recognized medical vocabularies. Incoming records are normalized during processing so applications can store, display, and reuse data without custom transformations or mapping logic.

Clinical Code Systems

Each FHIR resource contains structured code elements—code, coding, or codeableConcept—that identify clinical concepts in a computable format, and values conform to the US Core Implementation Guide or HL7 FHIR specification. They use established code systems, including:

  • LOINC®: Laboratory tests, vital signs, and document types
  • SNOMED CT®: Conditions, procedures, allergies, and clinical findings
  • RxNorm: Medications, ingredient names, and dosage forms
  • ICD-10-CM and CPT: Diagnosis and procedure codes, where required by source systems

USCDI Alignment

All data returned through Health Gorilla’s FHIR APIs conforms to the United States Core Data for Interoperability (USCDI) and HL7 FHIR R4 standards. Data classes include allergies and intolerances, medications and immunizations, conditions and procedures, laboratory results, vital signs, clinical notes, and care plans.

Records are automatically returned based on what connected networks supply; no additional configuration or specialized queries are required.

Resource Metadata

FHIR resources include metadata that supports provenance, versioning, and workflow context.

Key elements include:

  • meta.profile: Identifies the applied FHIR or US Core conformance profile
  • meta.tag and meta.security: Control routing, visibility, and contextual filtering
  • status, category, and code: Define workflow state and clinical meaning

These fields enable traceability, security enforcement, and accurate presentation in downstream systems.

Interoperability Frameworks

Health Gorilla operates in full compliance with national interoperability frameworks—including Carequality, CommonWell, eHealth Exchange, and TEFCA.

The platform manages record-locator logic, patient matching, query formatting, and audit logging across these networks, eliminating the need for clients to maintain separate trust agreements or implement framework-specific standards.