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

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Knowledge Engineering and Knowledge Management (EKAW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10180))

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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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Author information

Authors and Affiliations

  1. bioMérieux S.A., La Balme Les Grottes, France

    Mélissa Mary & Xavier Gansel

  2. Normandy University, LITIS EA 4108 and NormaSTIC CNRS 3638, Rouen, France

    Mélissa Mary & Lina Soualmia

  3. French National Institutes for Health (INSERM), LIMICS UMR_1142, Paris, France

    Lina Soualmia

Authors
  1. Mélissa Mary
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  2. Lina Soualmia
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  3. Xavier Gansel
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Corresponding author

Correspondence to Mélissa Mary .

Editor information

Editors and Affiliations

  1. University of Bologna , Bologna, Italy

    Paolo Ciancarini

  2. University of Bologna , Bologna, Italy

    Francesco Poggi

  3. Stanford University , Palo Alto, California, USA

    Matthew Horridge

  4. Lancaster University , Lancaster, United Kingdom

    Jun Zhao

  5. Garvan Institute of Medical Research , Darlinghurst, New South Wales, Australia

    Tudor Groza

  6. Universidad Politecnica de Madrid , Boadilla del Monte, Spain

    Mari Carmen Suarez-Figueroa

  7. The Open University , Milton Keynes, United Kingdom

    Mathieu d'Aquin

  8. STLab ISTC-CNR , Rome, Italy

    Valentina Presutti

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Mary, M., Soualmia, L., Gansel, X. (2017). Usability and Improvement of Existing Alignments: The LOINC-SNOMED CT Case Study. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_19

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  • DOI: https://doi.org/10.1007/978-3-319-58694-6_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58693-9

  • Online ISBN: 978-3-319-58694-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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