Evaluation of neonatal nurses' anxiety and readiness levels towards the use of artificial intelligence

Abstract

Objectivec

This is a cross-sectional and descriptive study to determine the levels of artificial intelligence anxiety and readiness of neonatal nurses.

Design and Methods

The study included 107 neonatal nurses, with data collected between May and August 2023. Data were obtained using sociodemographic information, the Artificial Intelligence Anxiety Scale (AIAS) and the Medical Artificial Intelligence Readiness Scale (MAIRS). For the analyses, Kolmogorov-Smirnov test results were examined for normality assumptions of numerical variables and nonparametric statistical methods were used. The relationships between two independent numerical variables were analysed using Spearman's Rho Correlation coefficient, and the differences between two independent groups were analysed using Mann-Whitney U Analysis.

Results

There was a statistically significant moderate negative correlation between participants' AIAS scores and MAIRS scores (r = −0.549). AIAS scores differed statistically significantly by age, education level, experience in neonatal care, knowledge about artificial intelligence, favouring the existence of AI-based technologies in neonatal clinics, and anxiety about artificial intelligence (p < 0.05). MAIRS scores differed statistically significantly (p < 0.05) by education level, having knowledge about artificial intelligence, favouring the existence of AI-based technologies in neonatal clinics, and anxiety about artificial intelligence.

Conclusion

Neonatal nurses' perceptions and attitudes towards AI technologies need to be better understood. Continuous training and support for neonatal nurses about AI technologies is important. This can enable them to effectively use AI technologies and contribute to improving the quality of patient care.