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Personalised Clinical Decision Support for Cancer Care

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Semantic Applications

Abstract

Medical consultants face increasing challenges in keeping up-to-date with the rapid development of new treatments and medications. Information providers offer evidence-based medical information services, continuously taking into account new publications and medical developments. This article describes a personalised clinical decision support system for cancer care. Data from evidence-based medical knowledge services are semantically linked with electronic health records and presented to consultants at the point-of-care.

This work was funded by the European Commission, Horizon 2020 Marie Skłodowska-Curie Research and Innovation Staff Exchange, under grant no 644186 as part of the project SAGE-CARE (SemAntically integrating Genomics with Electronic health records for Cancer CARE). Paul Walsh is supported by Science Foundation Ireland Fellowship grant number 16/IFA/4342.

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Author information

Authors and Affiliations

  1. Hochschule Darmstadt, Darmstadt, Germany

    Bernhard G. Humm

  2. NSilico Life Science, Dublin, Ireland

    Paul Walsh

Authors
  1. Bernhard G. Humm
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  2. Paul Walsh
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Corresponding author

Correspondence to Bernhard G. Humm .

Editor information

Editors and Affiliations

  1. Datenlabor Berlin, Berlin, Germany

    Thomas Hoppe

  2. Fachbereich Informatik, Hochschule Darmstadt, Darmstadt, Germany

    Bernhard Humm

  3. Ontoport UG, Sulzbach, Germany

    Anatol Reibold

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Humm, B.G., Walsh, P. (2018). Personalised Clinical Decision Support for Cancer Care. In: Hoppe, T., Humm, B., Reibold, A. (eds) Semantic Applications. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55433-3_10

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  • DOI: https://doi.org/10.1007/978-3-662-55433-3_10

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-55432-6

  • Online ISBN: 978-3-662-55433-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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