Using text prediction for facilitating input and improving readability of clinical text
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 (Refereed)
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.
, Studies in Health Technology and Informatics, ISSN 0926-9630 ; 192
Research subject Computer and Systems Sciences
IdentifiersURN: 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 (Online)OAI: oai:DiVA.org:su-95645DiVA: diva2:660952
MEDINFO 2013, Copenhagen, Denmark, 20 - 23 August, 2013