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A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledge

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Knowledge Representation for Health-Care. Data, Processes and Guidelines (KR4HC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5943))

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Abstract

Data, information, and knowledge in medicine is varied, changing, interrelated, and for diverse purposes. Medical and Clinical care depends on the correct and efficient combined application of these elements to concrete health care situations as prophylactics, screening, diagnosis, therapy, and prognosis. In this paper, we propose a Knowledge Management Architecture (KMA) to allow the integration of medical and clinical data, information and knowledge in a consistent and incremental way. The components of KMA are described and the already implemented parts are provided with references to papers where they are explained in more detail. For the first time, we present the conceptual integration of the isolated works performed in the research group of artificial intelligence of the Rovira i Virgili University and in collaboration with the Clinical Hospital of Barcelona, and the SAGESSA health care organization.

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Author information

Authors and Affiliations

  1. Research Group on Artificial Intelligence (Banzai), Rovira i Virgili University, Av. Països Catalans 26, 43007, Tarragona, Spain

    David Riaño

Authors
  1. David Riaño
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Editor information

Editors and Affiliations

  1. Rovira i Virgili University, Av. Països Catalans 26, 43007, Tarragona, Spain

    David Riaño

  2. Free University Amsterdam, De Boelelaan 1081A, 1081HV, Amsterdam, The Netherlands

    Annette ten Teije

  3. Danube University Krems, Dr.-Karl-Dorrek-Str. 30, 3500, Krems, Austria

    Silvia Miksch

  4. University of Haifa, Rabin Bldg, 31905, Haifa, Israel

    Mor Peleg

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Riaño, D. (2010). A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledge. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds) Knowledge Representation for Health-Care. Data, Processes and Guidelines. KR4HC 2009. Lecture Notes in Computer Science(), vol 5943. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11808-1_15

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  • DOI: https://doi.org/10.1007/978-3-642-11808-1_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11807-4

  • Online ISBN: 978-3-642-11808-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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