A usability framework for speech recognition technologies in clinical handover: A pre-implementation study topical collection on patient facing systems

Linda Dawson, Maree Johnson, Hanna SUOMINEN, Jim Basilakis, Paula Sanchez, Dominique Estival, Barbara Kelly, Leif HANLEN

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
6 Downloads (Pure)

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 hand-over 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.
Original languageEnglish
Article number56
Pages (from-to)1-9
Number of pages9
JournalJournal of Medical Systems
Volume38
Issue number6
DOIs
Publication statusPublished - Jun 2014

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