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The clinical spectrum of decision-support in oncology with a case report of a real world system

  • Diagnostic Problem Solving
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Book cover Artificial Intelligence in Medicine (AIME 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1211))

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Abstract

Clinical decision-support opportunities in oncology are numerous. Application programs may assist the diagnostic process, help define the proper therapy and adjust it to the patient's characteristics, streamline the delivery and follow-up of the treatments, provide tools for patient tracking and outcome measurements, and support patient care in the community. The authors and their colleagues have extended a novel general-purpose direct care-provider order entry system to take into account the particular aspects of chemotherapy ordering and decision-support. This new approach takes advantage of the infrastructure and functions of the integrated medical information system.

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Authors and Affiliations

  1. Division of Biomedical Informatics, Vanderbilt University Medical Center, USA

    Antoine Geissbühler MD, Randolph A. Miller MD & William W. Stead MD

Authors
  1. Antoine Geissbühler MD
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  2. Randolph A. Miller MD
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  3. William W. Stead MD
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Editor information

Elpida Keravnou Catherine Garbay Robert Baud Jeremy Wyatt

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© 1997 Springer-Verlag Berlin Heidelberg

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Geissbühler, A., Miller, R.A., Stead, W.W. (1997). The clinical spectrum of decision-support in oncology with a case report of a real world system. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029455

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  • DOI: https://doi.org/10.1007/BFb0029455

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62709-8

  • Online ISBN: 978-3-540-68448-0

  • eBook Packages: Springer Book Archive

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