Preservation of Information in Terminology Transcoding.

Linking interface terminologies (IT) to reference terminologies (RT) in flow of terminologies may allow health information system to be both usable and interoperable. Two French university hospitals worked independently on such a flow from the prescription of lab-test to the display of the correspon...

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Publicado en:Studies in Health Technology & Informatics Vol. 205; pp. 156 - 161
Autores principales: GRIFFON, Nicolas, MERABTI, Tayeb, CORMONT, Sylvie, TARIELLAURENT, Sophie, MASSARI, Philippe, LEPAGE, Eric, CHNITI, Amina, DANIEL, Christel, DARMONI, Stéfan J.
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 2014
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2014
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      pub: Sage Publications Inc.
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        10.3233/978-1-61499-432-9-156
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        atl: Preservation of Information in Terminology Transcoding.
      aug:
        au:
          GRIFFON, Nicolas
          MERABTI, Tayeb
          CORMONT, Sylvie
          TARIELLAURENT, Sophie
          MASSARI, Philippe
          LEPAGE, Eric
          CHNITI, Amina
          DANIEL, Christel
          DARMONI, Stéfan J.
        affil: CISMeF & TIBS LITIS EA 4108, Rouen University Hospital, Rouen, France
      sug:
        subj:
          Communication
          Health Information Systems
          Natural Language Processing
          Nomenclature
          Diagnosis, Laboratory
      ab: Linking interface terminologies (IT) to reference terminologies (RT) in flow of terminologies may allow health information system to be both usable and interoperable. Two French university hospitals worked independently on such a flow from the prescription of lab-test to the display of the corresponding results. The aim of this study was to evaluate the transmission of information in these two hospitals communication. An expert, supported by natural language processing tool, created the gold standard link between the 2 prescription ITs i.e. the terms that share the same meaning. A semantic pathway was defined to allow the mapping of one prescription IT to the other, through LOINC® and SNOMED®, the RT chosen by each hospital, respectively. The capacity of the semantic pathway to identify the correct links was computed. The expert found 218 links between the 2 prescription ITs (containing 580 and 374 terms that are linked to RT). The semantic pathway correctly identifies 96 of these links (44.0% [37.4- 50.6]). The recall was not as good as expected, even though the semantic pathway was created in order to maximize it. Using different RT in different hospitals is not an efficient solution. The use of LOINC® seems to be preferable as a RT for prescription.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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