Comparative study of LOINC and SNOMED CT in panel mapping: enhancing interoperability in laboratory testing

Area of Science:

• Medical Informatics
• Clinical Laboratory Science

Background:

• Accurate mapping of laboratory tests is crucial for data exchange.
• Logical Observation Identifiers Names and Codes (LOINC) and SNOMED CT are key terminologies for this purpose.

Purpose of the Study:

• To compare the effectiveness of LOINC and SNOMED CT in mapping frequently requested laboratory panel tests.
• To analyze the structural differences in representation between LOINC and SNOMED CT mappings.

Main Methods:

• Identified frequently requested panel tests from two major laboratories.
• Cross-validated LOINC and SNOMED CT mappings.
• Performed comparative structural analysis of mapped concepts and codes.

Main Results:

• LOINC achieved an 87.0% exact mapping rate for panel tests, with structured panel codes and detailed component specifications.
• SNOMED CT achieved a 78.2% exact mapping rate, often requiring post-coordination due to missing concepts and limited pre-coordinated codes.
• LOINC demonstrated higher accuracy and better representation of panel test components.

Conclusions:

• LOINC shows advantages for mapping frequently performed laboratory panel tests due to higher exact mapping rates and structured codes.
• Integrating SNOMED CT's flexibility with LOINC could further improve interoperability and standardization in laboratory data.
• Further development, like the LOINC Ontology project, is recommended to enhance laboratory data exchange.