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Influence of AI knowledge, perception, and acceptance attitude on nursing students’ intention to use AI-based healthcare technologies

Yon Hee Seo, Kyong Ah Cho

2022Korean Society of Nursing Research12 citationsDOI

Abstract

Purpose : Artificial intelligence (AI) has potentials to significantly transform a role of nurses and revolutionise practices of healthcare systems. The aim of this study is to identify influences of AI Knowledge, Perception, and Acceptance Attitude on nursing students’ Intentions to use AI-based healthcare technologies. Methods : The participants included 241 nursing students in Gyeonggi-do and Jeollanam-do, with data collected from 30 May to 30 June 2022 using self-reported questionnaires. The data were analyzed using the SPSS/WIN 25.0 program, with independent t-tests, one-way ANOVA, Pearson’s correlations, and multiple linear regression. Results : The results revealed that AI Knowledge positively correlated with AI perception(r=.40, p<.001), and Acceptance Attitude toward AI(r=.17, p=.007). AI perception positively correlated with AI Acceptance Attitude(r=.53, p <.001), and Intentions to use AI(r=.46, p<.001). AI Acceptance Attitude also positively correlated with Intentions to use AI(r=.52, p<.001). The factors influencing Intentions to use AI-based healthcare technologies included AI Perception(β=.30) and Acceptance Attitude AI Acceptance Attitude(β=.38). The adjusted R2 was .318. Conclusions : It is necessary to develop systematic educational programs on AI technologies and form an organizational culture to improve nursing clinical competency and professionalism for nursing students in healthcare setting.

Topics & Concepts

Health carePerceptionPsychologyKnowledge managementNursingApplied psychologyMedicineComputer sciencePolitical scienceLawNeuroscienceTechnology and Data AnalysisImpact of AI and Big Data on Business and SocietyHealthcare Education and Workforce Issues