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Conference on Artificial Intelligence in Medicine in Europe

AIME 1995: Artificial Intelligence in Medicine pp 331–339Cite as

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

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Part of the book series: Lecture Notes in Computer Science ((LNAI,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.

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Author information

Authors and Affiliations

  1. Department of Medicine, University State Hospital of Geneva, Switzerland

    C. Lovis

  2. Informatic Center, University State Hospital of Geneva, Switzerland

    P A. Michel, R. Baud & J R. Scherrer

Authors
  1. C. Lovis
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  2. P A. Michel
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  3. R. Baud
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  4. J R. Scherrer
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Editor information

Pedro Barahona Mario Stefanelli Jeremy Wyatt

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© 1995 Springer-Verlag Berlin Heidelberg

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Lovis, C., Michel, P.A., Baud, R., Scherrer, J.R. (1995). Use of a conceptual semi-automatic ICD-9 encoding system in an hospital environment. In: Barahona, P., Stefanelli, M., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1995. Lecture Notes in Computer Science, vol 934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60025-6_149

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  • DOI: https://doi.org/10.1007/3-540-60025-6_149

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60025-1

  • Online ISBN: 978-3-540-49407-2

  • eBook Packages: Springer Book Archive

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