Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction.

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Bibliographic Details
Title: Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction.
Authors: Suominen H; Machine Learning Research Group, NICTA, College of Engineering and Computer Science, The Australian National University, Faculty of Health, University of Canberra, and Department of Information Technology, University of Turku, Canberra, Australian Capital Territory, Australia., Johnson M; Research Faculty of Health Sciences, Australian Catholic University, Sydney, New South Wales, Australia., Zhou L; Machine Learning Research Group, NICTA, Canberra, Australian Capital Territory, Australia., Sanchez P; Centre for Applied Nursing Research (University of Western Sydney and South Western Sydney Local Health District), Sydney, New South Wales, Australia., Sirel R; Institute of Estonian and General Linguistics, University of Tartu, Tartu, Estonia., Basilakis J; School of Computing, Engineering and Mathematics, University of Western Sydney, Sydney, New South Wales, Australia., Hanlen L; Machine Learning Research Group, NICTA, College of Engineering and Computer Science, The Australian National University, Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia., Estival D; The MARCS Institute, University of Western Sydney and Department of Linguistics, University of Sydney, Sydney, New South Wales, Australia., Dawson L; Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia., Kelly B; School of Languages and Linguistics, The University of Melbourne, Melbourne, Victoria, Australia.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2015 Apr; Vol. 22 (e1), pp. e48-66. Date of Electronic Publication: 2014 Oct 21.
Publication Type: Evaluation Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1527-974X
DOI:10.1136/amiajnl-2014-002868