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Using text prediction for facilitating input and improving readability of clinical text
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2013 (English)In: MedInfo 2013: Proceedings of the 14th World Congress on Medical and Health Informatics / [ed] Christoph Ulrich Lehmann, Elske Ammenwerth, Christian Nøhr, IOS Press, 2013, 1149-1149 p.Conference paper, Published paper (Refereed)
Abstract [en]

Text prediction has the potential for facilitating and speeding up the documentation work within health care, making it possible for health personnel to allocate less time to documentation and more time to patient care. It also offers a way to produce clinical text with fewer misspellings and abbreviations, increasing readability. We have explored how text prediction can be used for input of clinical text, and how the specific challenges of text prediction in this domain can be addressed. A text prediction prototype was constructed using data from a medical journal and from medical terminologies. This prototype achieved keystroke savings of 26% when evaluated on texts mimicking authentic clinical text. The results are encouraging, indicating that there are feasible methods for text prediction in the clinical domain.

Place, publisher, year, edition, pages
IOS Press, 2013. 1149-1149 p.
Series
Studies in Health Technology and Informatics, ISSN 0926-9630 ; 192
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-95645DOI: 10.3233/978-1-61499-289-9-1149ISBN: 978-1-61499-288-2 (print)ISBN: 978-1-61499-289-9 (print)OAI: oai:DiVA.org:su-95645DiVA: diva2:660952
Conference
MEDINFO 2013, Copenhagen, Denmark, 20 - 23 August, 2013
Available from: 2013-10-31 Created: 2013-10-31 Last updated: 2014-01-22Bibliographically approved

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Skeppstedt, MariaDalianis, HerculesKvist, Maria
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf