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  1. Article ; Online: Ontology content patterns as bridge for the semantic representation of clinical information.

    Martínez-Costa, C / Schulz, S

    Applied clinical informatics

    2014  Volume 5, Issue 3, Page(s) 660–669

    Abstract: ... of ontology content patterns facilitate the semantic representation of clinical information and ... patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and ... composed.: Results: We describe and apply two content patterns for the representation of data on tobacco ...

    Abstract Objective: Semantic interoperability of the Electronic Health Record (EHR) requires a rigorous and precise modelling of clinical information. Our objective is to facilitate the representation of clinical facts based on formal principles.
    Methods: We here explore the potential of ontology content patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and composed.
    Results: We describe and apply two content patterns for the representation of data on tobacco use, rendered according to two heterogeneous models, represented in openEHR and in HL7 CDA. Finally, we provide some query exemplars that demonstrate a data interoperability use case.
    Conclusion: The use of ontology content patterns facilitate the semantic representation of clinical information and therefore improve their semantic interoperability. There are open issues such as the scalability and performance of the approach if a logic-based language is used. Implementation decisions might determine the final degree of semantic interoperability, influenced by the state of the art of the semantic technologies.
    MeSH term(s) Biological Ontologies ; Electronic Health Records/standards ; Health Level Seven/standards ; Information Storage and Retrieval/standards ; Internationality ; Medical Record Linkage/standards ; Natural Language Processing ; Practice Guidelines as Topic ; Semantics
    Language English
    Publishing date 2014-07-23
    Publishing country Germany
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1869-0327
    ISSN (online) 1869-0327
    DOI 10.4338/ACI-2014-04-RA-0031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Ontology Content Patterns as Bridge for the Semantic Representation of Clinical Information

    Martínez-Costa, C. / Schulz, S.

    Applied Clinical Informatics

    2014  Volume 05, Issue 03, Page(s) 660–669

    Abstract: ... of ontology content patterns facilitate the semantic representation of clinical information and ... Martínez-Costa C, Schulz S. Ontology content patterns as bridge for the semantic rRepresentation ... patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and ...

    Abstract Objective: Semantic interoperability of the Electronic Health Record (EHR) requires a rigorous and precise modelling of clinical information. Our objective is to facilitate the representation of clinical facts based on formal principles.
    Methods: We here explore the potential of ontology content patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and composed.
    Results: We describe and apply two content patterns for the representation of data on tobacco use, rendered according to two heterogeneous models, represented in openEHR and in HL7 CDA. Finally, we provide some query exemplars that demonstrate a data interoperability use case.
    Conclusion: The use of ontology content patterns facilitate the semantic representation of clinical information and therefore improve their semantic interoperability. There are open issues such as the scalability and performance of the approach if a logic-based language is used. Implementation decisions might determine the final degree of semantic interoperability, influenced by the state of the art of the semantic technologies.
    Citation: Martínez-Costa C, Schulz S. Ontology content patterns as bridge for the semantic rRepresentation of clinical information Appl Clin Inf 2014; 5: 660–669 http://dx.doi.org/10.4338/ACI-2014-04-RA-0031
    Keywords Electronic Health Records ; Semantics ; SNOMED CT ; Knowledge Representation ; HL7 CDA ; OpenEHR
    Language English
    Publishing date 2014-03-01
    Publisher Schattauer GmbH
    Publishing place Stuttgart ; New York
    Document type Article
    ISSN 1869-0327
    ISSN (online) 1869-0327
    DOI 10.4338/ACI-2014-04-RA-0031
    Database Thieme publisher's database

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