Change search
ReferencesLink to record
Permanent link

Direct link
Using text prediction for facilitating input and improving readability of clinical text
KTH. (Infrastruktur)
2013 (English)In: Studies in Health Technology and Informatics, IOS Press, 2013, no 1-2, 1149- p.Conference 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. no 1-2, 1149- p.
, Studies in Health Technology and Informatics, ISSN 0926-9630 ; 192
Keyword [en]
Electronic health records, Readability, Text prediction
National Category
Medical and Health Sciences Computer and Information Science
URN: urn:nbn:se:kth:diva-147483DOI: 10.3233/978-1-61499-289-9-1149ISI: 000341021700417ScopusID: 2-s2.0-84894382652ISBN: 978-161499288-2OAI: diva2:730105
14th World Congress on Medical and Health Informatics, MEDINFO 2013, 20 August 2013 through 23 August 2013, Copenhagen

QC 20140627

Available from: 2014-06-27 Created: 2014-06-27 Last updated: 2014-10-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Ahltorp, Magnus
By organisation
Medical and Health SciencesComputer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 40 hits
ReferencesLink to record
Permanent link

Direct link