Web-Based Tools for Codification with Medical Ontologies in Switzerland

  • Authors:

  • Thorsten Kurz;Kilian Stoffel

  • Affiliations:

  • University of Neuchâtel, Switzerland, email: thorsten.kurz@unine.ch;University of Neuchâtel, Switzerland, email: kilian.stoffel@unine.ch

  • Venue:
  • Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
  • Year:
  • 2006

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Abstract

This paper presents three aspects through which code retrieval from an medical ontology can be improved. First, the recall of correct codes can be increased by the application of appropriate morphological operations on query terms and the enhancement of concept names with synonymous terms. Secondly, the efficiency of a manual selection process from a result set can be improved by structuring the result set correspondingly to the original ontology. Finally direct enhancements to the structure and content of the ontologies can be made in order to personalise it. These methods were implemented and evaluated in tools for two ontologies of major importance in the Swiss health care system: the ICD 10 and the TARMED ontology.