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Standards, Data Models, Ontologies, Rules: Prerequisites for Comprehensive Clinical Practice Guidelines

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Rule-Based Modeling and Computing on the Semantic Web (RuleML 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7018))

Abstract

General technical challenges in providing a standardized semantic, structural, and conceptual foundation for comprehensive Clinical Decision Support (CDS) are introduced. The prerequisite requirements for a) standard representations of domain data, b) standard vocabularies to unambiguously define and declare domain concepts, and c) an expressive description logic syntax with which to articulate and encode domain knowledge are examined with reference to the use of CDS in automating Clinical Practice Guidelines. Semantic web, uncertainty and other cognitive technologies are discussed in the context of improving the reliability and adaptability of clinical guidelines in real-world scenarios. Select opportunities for incorporating standards and technology capabilities available in non-medical communities are highlighted when appropriate.

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Author information

Authors and Affiliations

  1. Department of Modeling and Simulation, Naval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106, USA

    Emory Fry

  2. DEIS, University of Bologna, Viale Risorgimento, 2, 40136, Bologna, Italy

    Davide Sottara

Authors
  1. Emory Fry
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  2. Davide Sottara
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Editor information

Editors and Affiliations

  1. Frank Olken University, P.O. Box 527, 94701, Berkeley, CA, USA

    Frank Olken

  2. University of Bologna, CIRSFID, Via Galliera 3, 40128, Bologna, Italy

    Monica Palmirani

  3. DEIS, Università di Bologna, Italy

    Davide Sottara

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Fry, E., Sottara, D. (2011). Standards, Data Models, Ontologies, Rules: Prerequisites for Comprehensive Clinical Practice Guidelines. In: Olken, F., Palmirani, M., Sottara, D. (eds) Rule-Based Modeling and Computing on the Semantic Web. RuleML 2011. Lecture Notes in Computer Science, vol 7018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24908-2_27

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  • DOI: https://doi.org/10.1007/978-3-642-24908-2_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24907-5

  • Online ISBN: 978-3-642-24908-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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