Usability and Improvement of Existing Alignments: The LOINC-SNOMED CT Case Study

Abstract : LOINC® and SNOMED CT® are two of the most used biomedical terminology standards to conjointly describe medical laboratory data into patient Electronic Health Records. The institutions owning them entered in a collaboration 4 years ago. The intention was to provide alignments between LOINC® and SNOMED CT® in order to improve query and aggregation of patient data. This work brings input on the LOINC—SNOMED CT alignment effort: (i) we developed algorithms aiding to align LOINC® and SNOMED CT® efficiently and (ii) we demonstrated the benefits of the SNOMED CT® conceptual hierarchy and tests model to query data initially coded in LOINC®.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02100416
Contributeur : Lina F Soualmia <>
Soumis le : lundi 15 avril 2019 - 19:24:51
Dernière modification le : lundi 29 avril 2019 - 14:38:31

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Mélissa Mary, Lina Soualmia, Xavier Gansel. Usability and Improvement of Existing Alignments: The LOINC-SNOMED CT Case Study. Knowledge Engineering and Knowledge Management - EKAW 2016 Satellite Events, EKM and Drift-an-LOD - EKAW (Satellite Events), 10180, Springer, pp.145-148, 2017, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-58694-6_19⟩. ⟨hal-02100416⟩

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