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Medical Informatics pp 423–448Cite as

Semantic Text Parsing for Patient Records

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Part of the book series: Integrated Series in Information Systems ((ISIS,volume 8))

Chapter Overview

Accessibility to a comprehensive variety of different types of structured patient data is critical to improvement in the health care process, yet most patient information is in the form of narrative text. Semantic methods are needed to interpret and map clinical information to a structured form so that the information will be accessible to other automated applications. This chapter focuses on semantic methods that map narrative patient information to a structured coded form.

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Author information

Authors and Affiliations

  1. Department of Biomedical Informatics, Columbia University, New York, New York, 10027

    Carol Friedman

Authors
  1. Carol Friedman
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Editor information

Editors and Affiliations

  1. The University of Arizona, USA

    Hsinchun Chen

  2. University of Washington, USA

    Sherrilynne S. Fuller

  3. Columbia University, USA

    Carol Friedman

  4. Oregon Health & Science Univ., USA

    William Hersh

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© 2005 Springer Science+Business Media, Inc.

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Friedman, C. (2005). Semantic Text Parsing for Patient Records. In: Chen, H., Fuller, S.S., Friedman, C., Hersh, W. (eds) Medical Informatics. Integrated Series in Information Systems, vol 8. Springer, Boston, MA. https://doi.org/10.1007/0-387-25739-X_15

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  • DOI: https://doi.org/10.1007/0-387-25739-X_15

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-24381-8

  • Online ISBN: 978-0-387-25739-6

  • eBook Packages: MedicineMedicine (R0)

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