Artificial Intelligence Anxiety of Nurses and Related Factors

Authors : Asuman Çobanoğlu, Hatice Oğuzhan

Pages : 1846-1854

Doi:10.37989/gumussagbil.1274522

View : 129 | Download : 174

Publication Date : 2023-12-26

Article Type : Research Paper

Abstract :The research was carried out to examine the artificial intelligence anxiety levels of nurses and their affecting factors. In this study, a descriptive and cross-sectional design was used. The sample of the study consisted of 120 nurses (n=120). The research data were collected between 10 July and 10 October 2021. Data were collected using a Nurse Information From (NIF) and Artificial Intelligence Anxiety Scale (AIAS). Mann- Whitney U and Kruskal-Wallis test were used in the analysis of research data. The average age of nursing was 31.05±7.40 and 82.2% were females. The AI levels of the nurses were found to be 43.36±11.13. It was determined that there was a difference between the educational status of the nurses, their knowledge of AI technologies, the effect of AI technologies in patient care and their AI anxiety levels (p<0.05). This study determined that AI anxiety was higher in nurses who had a lower education level, did not have knowledge about AI technologies, and thought that AI technologies would not have a positive effect on patient care.
Keywords : Hemşire, Yapay zeka, Yapay zeka kaygısı