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

Mélissa Mary (1, 2, 3) , Lina F. Soualmia (1, 2) , Xavier Gansel (3)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 TIBS - LITIS - Equipe Traitement de l'information en Biologie Santé
3 BIOMERIEUX

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®.

Mots clés: biomedical terminology; LOINC; SNOMED CT; Ontology alignment; ontology reuse; reasoning

Domaines: Informatique [cs]

Mélissa Mary, Lina F. 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⟩