RT Journal Article
T1 Experiences and perceptions of final-year nursing students of using a chatbot in a simulated emergency situation: A qualitative study.
A1 Rodriguez-Arrastia, Miguel
A1 Martinez-Ortigosa, Adrian
A1 Ruiz-Gonzalez, Cristofer
A1 Ropero-Padilla, Carmen
A1 Roman, Pablo
A1 Sanchez-Labraca, Nuria
K1 artificial intelligence
K1 chatbot
K1 evidence-based practice
K1 nursing
K1 patient safety
AB 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. 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. A descriptive qualitative study was used through focus group interviews. The data analysis was conducted using a thematic analysis. 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. 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. 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.
YR 2022
FD 2022-04-18
LK http://hdl.handle.net/10668/19998
UL http://hdl.handle.net/10668/19998
LA en
DS RISalud
RD Apr 6, 2025