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Postcoordination of LOINC Codes in SNOMED CT
Nina Haffer1,2, Sylvia Thun2,3,4
1Hochschule für Technik und Wirtschaft (HTW) - University of Applied Sciences, Berlin, Germany.
This study provides a guideline for translating Logical Observation Identifiers Names and Codes (LOINC) to SNOMED CT, ensuring complete information transfer using SNOMED CT's compositional grammar for enhanced data interoperability.
Area of Science:
- Medical Informatics
- Health Terminology Standards
Background:
- SNOMED CT and LOINC are critical terminologies in healthcare.
- Effective mapping between these standards is essential for data integration.
Purpose of the Study:
- To analyze SNOMED CT and LOINC terminologies.
- To provide a guideline for translating LOINC concepts into SNOMED CT.
- To ensure comprehensive information transfer during the translation process.
Main Methods:
- Analysis of SNOMED CT and LOINC terminologies.
- Translation of 50 frequently performed laboratory service LOINC concepts to SNOMED CT.
- Utilizing verified research datasets for replicability.
Main Results:
- A guideline for LOINC to SNOMED CT translation was developed.
- SNOMED CT's compositional grammar enables post-coordinated expressions that capture all LOINC information.
- Pre-coordinated mapping was found to risk information loss.
Conclusions:
- SNOMED CT's compositional grammar facilitates seamless information transfer from LOINC.
- The proposed guideline supports accurate and complete mapping between LOINC and SNOMED CT.
- This facilitates improved data interoperability in healthcare settings.
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