Towards a Conceptual Model for Enhancing Reasoning About Clinical Guidelines

A Case-Study on Comorbidity
  • Veruska Zamborlini
  • Marcos da Silveira
  • Cédric Pruski
  • Annette ten Teije
  • Frank van Harmelen
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8903)

Abstract

Computer-Interpretable Guidelines (CIGs) are representations of Clinical Guidelines (CGs) in computer interpretable languages. CIGs have been pointed as an alternative to deal with the various limitations of paper based CGs to support healthcare activities. Although the improvements offered by existing CIG languages, the complexity of the medical domain requires advanced features in order to reuse, share, update, combine or personalize their contents. We propose a conceptual model for representing the content of CGs as a result from an iterative approach that take into account the content of real CGs, CIGs languages and foundational ontologies in order to enhance the reasoning capabilities required to address CIG use-cases. In particular, we apply our approach to the comorbidity use-case and illustrate the model with a realistic case study (Duodenal Ulcer and Transient Ischemic Attack) and compare the results against an existing approach.

Keywords

Duodenal Ulcer Proton Pump Inhibitor Care Action Situation Type Reasoning Capability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Veruska Zamborlini
    • 1
    • 2
  • Marcos da Silveira
    • 2
  • Cédric Pruski
    • 2
  • Annette ten Teije
    • 1
  • Frank van Harmelen
    • 1
  1. 1.VU University AmsterdamAmsterdamThe Netherlands
  2. 2.Public Research Center Henri TudorEsch-sur-AlzetteLuxembourg

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