Event-Oriented Semantic Data Generation for Medical Guidelines

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 480)

Abstract

Clinical practice guidelines aim to help doctors and patients to improve the quality of care, reduce unjustified practice variations and reduce healthcare costs. The study of medical events is of special significance in medicine. However, in most existing medical guidelines, there is a lack of effective methods and tools to describe medical events. This paper analyzes the medical guidelines and the events in those guidelines, discusses the definition of semantic event and the theoretical model of event proposed by Vendler. On this basis, the paper introduces the importance as an additional dimension in the definition on events. Events of guidelines can be extracted according to this definition. We convert those extracted events using the XSLT to generate their RDF semantic data. The generated semantic data are mapped with not only their relevance of the well-known medical ontology such as SNOMED CT, but also used in the system SeSRUA, a semantically-enabled system for rational use of antibiotics. The experiments show that it can promote the rational use of drugs in the development of information technology and knowledge management.

Keywords

Clinical guidelines Medical events SNOMED Semantic web technology 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyWuhan University of Science and TechnologyWuhanChina
  2. 2.Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial SystemWuhanChina
  3. 3.Departments of Computer ScienceVU University AmsterdamAmsterdamThe Netherlands

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