Experiences and perceptions of final-year nursing students of using a chatbot in a simulated emergency situation: A qualitative study
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Other documents of the author: Rodriguez-Arrastia, Miguel; Martinez-Ortigosa, Adrian; Ruiz González, Cristofer; Ropero-Padilla, Carmen; Roman, Pablo; Sánchez Labraca, María Nuria
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Title
Experiences and perceptions of final-year nursing students of using a chatbot in a simulated emergency situation: A qualitative studyAuthor (s)
Date
2022-04-11Publisher
WileyISSN
0966-0429; 1365-2834Bibliographic citation
Rodriguez-Arrastia, M.,Martinez-Ortigosa, A., Ruiz-Gonzalez, C., Ropero-Padilla, C.,Roman, P., & Sanchez-Labraca, N. (2022). Experiences andperceptions of final-year nursing students of using a chatbot ina simulated emergency situation: A qualitative study.Journalof Nursing Management,1–11.https://doi.org/10.1111/jonm.13630RODRIGUEZ-ARRASTIAET AL.11Type
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Abstract
Aim
The aim of this study is to explore the experiences and perceptions of final-year nursing students on the acceptability and feasibility of using a chatbot for clinical decision-making and patient safety.
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Aim
The aim of this study is to explore the experiences and perceptions of final-year nursing students on the acceptability and feasibility of using a chatbot for clinical decision-making and patient safety.
Background
The effective and inclusive use of new technologies such as conversational agents or chatbots could support nurses in increasing evidence-based care and decreasing low-quality services.
Methods
A descriptive qualitative study was used through focus group interviews. The data analysis was conducted using a thematic analysis.
Results
This study included 114 participants. After our data analysis, two main themes emerged: (i) experiences in the use of a chatbot service for clinical decision-making and and (ii) integrating conversational agents into the organizational safety culture.
Conclusions
The findings of our study provide preliminary support for the acceptability and feasibility of adopting SafeBot, a chatbot for clinical decision-making and patient safety. Our results revealed substantial recommendations for refining navigation, layout and content, as well as useful insights to support its acceptance in real nursing practice.
Implications for Nursing Management
Leaders and managers may well see artificial intelligence-based conversational agents like SafeBot as a potential solution in modern nursing practice for effective problem-solving resolution, innovative staffing and nursing care delivery models at the bedside and criteria for measuring and ensure quality and patient safety. [-]
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J Nurs Manag. 2022;1–11.Related data
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Except where otherwise noted, this item's license is described as © 2022 The Authors. Journal of Nursing Management published by John Wiley & Sons Ltd.
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