Identifying Treatment Activities for Modelling Computer-Interpretable Clinical Practice Guidelines

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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.
Year of Publication
2011
Book Title
Knowledge Representation for Health-Care
Series Volume
6512
Number of Pages
115–127
Publisher
Springer Verlag
Citation Key
Series Title
Lecture Notes in Artificial Intelligence
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