Anxiety Levels Toward Artificial Intelligence Applications among Nurses

Objective: This research was conducted to assess the anxiety levels of nurses about artificial intelligence applications.

Methods and Materials: The research was a descriptive cross-sectional design, conducted with 270 nurses. In collecting data, four tools were used for data collection; Nurses' demographic characteristics data, the artificial intelligence anxiety scale(AIAS), attitude toward artificial intelligence applications, and Information and opinions of nurses about artificial intelligence technology were used The data were analyzed and interpreted through use of the application of Statistical Package for Social Sciences (SPSS), version 26.0. Data analysis was performed using descriptive statistics, as well as the Kolmogorov–Smirnov, Shapiro–Wilk, Spearman, Mann–Whitney U, and Kruskal–Wallis tests.

Findings: The result was that more than half of the nurses (54.4%) experienced moderate anxiety about artificial intelligence (AI) applications (M±SD= 62.03 ± 12.610), while 38.1% reported severe anxiety and only 7.4% had mild anxiety.

Conclusion: It was determined that the artificial intelligence anxiety levels of nurses were moderate. The study recommended providing continuous training sessions for nursing staff on dealing with artificial intelligence technology, which can improve the quality of care, enhance patient outcomes, and reduce their level of anxiety.