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Capturing patient information at nursing shift changes : methodological evaluation of speech recognition and information extraction
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Australia loves language puzzles : the Australian Computational and Linguistics Olympiad (OzCLO)
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A usability framework for speech recognition technologies in clinical handover : a pre-implementation study
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Dawson, Linda; Johnson, Maree (R7919); Suominen, Hanna; Basilakis, Jim (R16681); Sanchez, Paula (University of Western Sydney); Estival, Dominique (R16320); Kelly, Barbara; Hanlen, Leif. - : U.S., Springer, 2014
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Abstract:
A multi-disciplinary research team is undertaking a trial of speech-to-text (STT) technology for clinical handover management. Speech-to-text technologies allow for the capture of handover data from voice recordings using speech recognition software and systems. The text documents created from this system can be used together with traditional handover notes and checklists to enhance the depth and breadth of data available for clinical decision-making at the point of care and so improve patient care and reduce medical errors. This paper reports on a preliminary study of perceived usability by nurses of speech-to-text technology based on interviews at a “test day” and using a user-task-technology usability framework to explore expectations of nurses of the use of speech-to-text (STT) technology for clinical handover. The results of this study will be used to design field studies to test the use of speech-to-text (STT) technologies at the point of care in several hospital settings.
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Keyword:
200105 - Organisational; 970120 - Expanding Knowledge in Languages; Communication and Culture; Interpersonal and Intercultural Communication
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URL: https://doi.org/10.1007/s10916-014-0056-7
http://handle.uws.edu.au:8081/1959.7/544805
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