Identifying treatment activities for modeling computer-interpretable clinical practice guidelines

  • Authors:
  • Katharina Kaiser;Andreas Seyfang;Silvia Miksch

  • Affiliations:
  • Institute of Software Technology & Interactive Systems, Vienna University of Technology, Vienna, Austria and Center for Medical Statistics, Informatics, & Intelligent Systems, Medical Univ ...;Institute of Software Technology & Interactive Systems, Vienna University of Technology, Vienna, Austria;Institute of Software Technology & Interactive Systems, Vienna University of Technology, Vienna, Austria and Department of Information & Knowledge Engineering, Danube University Krems, Kre ...

  • Venue:
  • KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
  • Year:
  • 2010

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Abstract

Clinical practice guidelines are important instruments to support clinical care. In this work we analysed how activities are formulated in these documents and we tried to represent the activities using patterns based on semantic relations. For this we used the Unified Medical Language System (UMLS) and in particular its Semantic Network. Out of it we generated a collection of semantic patterns that can be used to automatically identify activities. In a study we showed that these semantic patterns can cover a large part of the control flow. Using such patterns cannot only support the modelling of computer-interpretable clinical practice guidelines, but can also improve the general comprehension which treatment procedures have to be accomplished. This can also lead to improved compliance of clinical practice guidelines.