TY - GEN
T1 - Using voice-activated conversational interfaces for reporting patient safety incidents
T2 - 26th Australian National Health Informatics Conference (HIC 2018)
AU - Sun, Owen
AU - Chen, Jessica
AU - Magrabi, Farah
N1 - Copyright the Author(s) and IOS Press 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2018
Y1 - 2018
N2 - Conversational interfaces and speech recognition capabilities are being increasingly used to create more natural and intuitive user interaction with digital technology. While voice-activated technologies have been used to support clinical documentation, their use for reporting patient safety incidents has not been previously investigated. The purpose of this paper is to assess the technical feasibility of an application for reporting incidents that combines a conversational interface with speech recognition software, and to undertake a pilot study of its usability. We built a prototype finite state-based application where incidents involving digital health technologies could be reported by answering five questions about the task being performed, the response of the software and the outcome of the clinical situation. Pilot tests showed that the conversational interface was usable. However, participants expressed concerns with speaking out loud about sensitive patient safety and quality improvement issues, including human error and system failures, in busy clinical environments. Further work is required to identify the clinical contexts in which conversational interfaces can be used to support incident reporting.
AB - Conversational interfaces and speech recognition capabilities are being increasingly used to create more natural and intuitive user interaction with digital technology. While voice-activated technologies have been used to support clinical documentation, their use for reporting patient safety incidents has not been previously investigated. The purpose of this paper is to assess the technical feasibility of an application for reporting incidents that combines a conversational interface with speech recognition software, and to undertake a pilot study of its usability. We built a prototype finite state-based application where incidents involving digital health technologies could be reported by answering five questions about the task being performed, the response of the software and the outcome of the clinical situation. Pilot tests showed that the conversational interface was usable. However, participants expressed concerns with speaking out loud about sensitive patient safety and quality improvement issues, including human error and system failures, in busy clinical environments. Further work is required to identify the clinical contexts in which conversational interfaces can be used to support incident reporting.
KW - Artificial Intelligence
KW - Conversational agent
KW - Dialogue system
KW - Patient Safety
UR - http://www.scopus.com/inward/record.url?scp=85056375921&partnerID=8YFLogxK
M3 - Conference proceeding contribution
SN - 9781614998891
VL - 252
T3 - Studies in health technology and informatics
SP - 139
EP - 144
BT - Connecting the System to Enhance the Practitioner and Consumer Experience in Healthcare
A2 - Cummings, Elizabeth
A2 - Ryan, Angela
A2 - Schaper, Louise K.
PB - IOS Press
CY - Amsterdam
Y2 - 29 July 2018 through 1 August 2018
ER -