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The Role of Ontologies and Decision Frameworks in Computer-Interpretable Guideline Execution

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Synergies Between Knowledge Engineering and Software Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 626))

Abstract

Computer-Interpretable Guidelines (CIGs) are machine readable representations of Clinical Practice Guidelines (CPGs) that serve as the knowledge base in many knowledge-based systems oriented towards clinical decision support. Herein we disclose a comprehensive CIG representation model based on Web Ontology Language (OWL) along with its main components. Additionally, we present results revealing the expressiveness of the model regarding a selected set of CPGs. The CIG model then serves as the basis of an architecture for an execution system that is able to manage incomplete information regarding the state of a patient through Speculative Computation. The architecture allows for the generation of clinical scenarios when there is missing information for clinical parameters.

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Notes

  1. 1.

    Available at https://www.guideline.gov/.

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Acknowledgements

This work has been supported by COMPETE: POCI-01-0145-FEDER-0070 43 and FCT Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013. The work of Tiago Oliveira is supported by a FCT grant with the reference SFRH/BD/85291/ 2012. This work was partially developed during an internship program of the National Institute of Informatics (NII) of Japan by Tiago Oliveira.

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Authors and Affiliations

  1. Department of Informatics, Algoritmi Research Centre, University of Minho Braga, Braga, Portugal

    Paulo Novais & José Neves

  2. National Institute of Informatics, Sokendai University, Tokyo, Japan

    Tiago Oliveira & Ken Satoh

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  1. Paulo Novais
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  2. Tiago Oliveira
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  3. Ken Satoh
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  4. José Neves
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Correspondence to Paulo Novais .

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Editors and Affiliations

  1. AGH University of Science and Technology , Kraków, Poland

    Grzegorz J. Nalepa

  2. Universität Würzburg , Würzburg, Germany

    Joachim Baumeister

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Novais, P., Oliveira, T., Satoh, K., Neves, J. (2018). The Role of Ontologies and Decision Frameworks in Computer-Interpretable Guideline Execution. In: Nalepa, G., Baumeister, J. (eds) Synergies Between Knowledge Engineering and Software Engineering. Advances in Intelligent Systems and Computing, vol 626. Springer, Cham. https://doi.org/10.1007/978-3-319-64161-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-64161-4_10

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