loinc

is a Data Model.

It is part of the OMOP collection.

LOINC (Logical Observation Identifiers Names and Codes) is the international standard for identifying health measurements, laboratory and clinical observations, and documents; it provides universal codes and structured names enabling interoperable exchange and aggregation of clinical, laboratory, and other health data worldwide.

Domains

clinical, biomedical, health, genomics

Homepage

loinc

Repository

Unknown

Infores ID

infores:loinc

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
loinc.web LOINC Website & Browsers search GraphicalInterface http Web-based tools including SearchLOINC...
loinc.api.fhir LOINC FHIR API fhir ProgrammingInterface http HL7 FHIR-based API providing programm...
loinc.complete LOINC Complete Release loinc-complete DataModelProduct mixed Complete LOINC release archive (table...
loinc.archive LOINC Release Archive archive DataModelProduct mixed Archive of past LOINC releases for ve...
loinc.principles LOINC Principles Document principles DocumentationProduct LOINC Mission, Vision, and Guiding Pr...
From other Resources
ID Name URL Category Format Description
ubkg.neo4j UBKG Neo4j Docker Distribution ubkg-downloads.xconsortia.org GraphProduct Turnkey neo4j distributions that depl...
ubkg.csv UBKG Ontology CSV Files ubkg-downloads.xconsortia.org GraphProduct csv Ontology CSV files that can be import...
athena.mappings Athena Concept Mappings start MappingProduct csv Concept mappings between different te...
athena.vocabularies Athena Vocabulary Downloads list Product csv Downloadable standardized vocabulary ...

Details

LOINC

LOINC (Logical Observation Identifiers Names and Codes) standardizes identifiers and names for laboratory tests, clinical measurements, panels, and documents. A free account unlocks downloads of the complete release (currently 2.81) and access to web tooling (SearchLOINC, Hierarchy Browser) and the HL7 FHIR API. LOINC’s mission and guiding principles emphasize openness, accessibility, pragmatics, agility, and diligence in developing global health data standards. Cite the specific version employed in your implementation.

Is this information incorrect or incomplete? Request an update.

Created: June 04, 2025 | Last modified: April 10, 2026