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Speech Driven Natural Language Understanding for Hands-Busy Recording of Clinical Information

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  • First Online:
Artificial Intelligence in Medicine (AIMDM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1620))

Abstract

The hands-busy nature of many clinical examinations means that keyboard and mouse driven interface paradigms are unable to capture medical information at source. The impact of compromised data integrity when using such systems and their inability to serve the needs of clinicians in an endoscopic context is examined. A speech driven application has been developed to serve the clinical process of endoscopy and record data at source. The system exploits the power of a natural narrative to capture and generate consistent visual and textual clinical information.

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Author information

Authors and Affiliations

  1. School of Computing and Mathematics, University of Teesside, Middlesbrough, Cleveland, TS1 3BA, UK

    D. J. Barker, S. C. Lynch & D. S. Simpson

  2. Endoscopy Center, South Cleveland Hospital, Middlesbrough, Cleveland, UK

    W. A. Corbett

Authors
  1. D. J. Barker
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  2. S. C. Lynch
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  3. D. S. Simpson
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  4. W. A. Corbett
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Editor information

Editors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Werner Horn

  2. Department of Medicine and Computer Science, Stanford University, 251 Campus Drive, Stanford, CA, 94305-5479, USA

    Yuval Shahar

  3. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  4. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajers Vej 7D, DK-9000, Aalborg, Denmark

    Steen Andreassen

  5. School of Public Policy, University College London, 29/30 Tavistock Square, London, WC1H 9EZ, UK

    Jeremy Wyatt

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© 1999 Springer-Verlag Berlin Heidelberg

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Cite this paper

Barker, D.J., Lynch, S.C., Simpson, D.S., Corbett, W.A. (1999). Speech Driven Natural Language Understanding for Hands-Busy Recording of Clinical Information. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_45

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  • DOI: https://doi.org/10.1007/3-540-48720-4_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

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