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Use of a conceptual semi-automatic ICD-9 encoding system in an hospital environment

  • C. Lovis
  • P A. Michel
  • R. Baud
  • J R. Scherrer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 934)

Abstract

The necessity of encoding medical diagnosis has become essential, not only for medical purposes, but also for community-based research, epidemiology and economy, but there is a real lack of tools ensuring good quality and exhaustivity of diagnosis encoding. To achieve this goal whilst avoiding the need of to much computer processing power, we have built a tool using some natural language processing techniques, like a simple semantical representation and partial symbolic queries. We have also tried to build a cost-effectiveness system, which will run on any PC-Windows based system, with a good user-friendliness quality.

Keywords

Chronic Obstructive Pulmonary Disease Natural Language Processing Discharge Letter Left Heart Failure Natural Language Processing Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • C. Lovis
    • 1
  • P A. Michel
    • 2
  • R. Baud
    • 2
  • J R. Scherrer
    • 2
  1. 1.Department of MedicineUniversity State Hospital of GenevaSwitzerland
  2. 2.Informatic CenterUniversity State Hospital of GenevaSwitzerland

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