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A Conceptual Model for Detecting Interactions among Medical Recommendations in Clinical Guidelines

A Case-Study on Multimorbidity
  • Veruska Zamborlini
  • Rinke Hoekstra
  • Marcos da Silveira
  • Cédric Pruski
  • Annette ten Teije
  • Frank van Harmelen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8876)

Abstract

Representation of clinical knowledge is still an open research topic. In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. We evaluate the model by applying it to a realistic case study involving 3 diseases (Osteoarthritis, Hypertension and Diabetes) and compare the results with two other existing methods.

Keywords

Clinical knowledge representation Reasoning Combining medical guidelines Multimorbidity 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Veruska Zamborlini
    • 1
    • 2
  • Rinke Hoekstra
    • 1
    • 3
  • Marcos da Silveira
    • 2
  • Cédric Pruski
    • 2
  • Annette ten Teije
    • 1
  • Frank van Harmelen
    • 1
  1. 1.Dept. of Computer ScienceVU University AmsterdamThe Netherlands
  2. 2.Public Research Centre Henri TudorLuxembourg
  3. 3.Faculty of LawUniversity of AmsterdamThe Netherlands

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