Effect of Instructional Sessions on Nursing Perspectives and Attitudes Regarding Use of Artificial Intelligence for Fetal Monitoring in Maternity Units

Abstract

Background: The inclusion of artificial intelligence (AI) based technologies in nursing practice has sparked concerns and public discussions, with some people worried that this technology could replace nurses. Aim: The study examined the effect of instructional sessions on nursing perspectives and attitudes regarding use of artificial intelligence for fetal monitoring in maternity units. Design: A quasi-experimental design was used, involving a single group pre- and post-intervention. Setting: The study was conducted at Minia University Hospital's maternity units in Egypt. Sample: A purposive sample of 51 nurses working in maternity units was included. Tools: Two tools were used: Self-administered questionnaire about nurses' demographics and perspectives on AI-driven Cardiotocography (CTG) for fetal monitoring, and a questionnaire about nurses' attitudes towards using AI for fetal monitoring. Results: Before the training, 76.5% of nurses had low total perspectives scores and 77.4% had a negative attitude. After the training, 62.8% had high total perspectives scores and 76.5% had a positive attitude, with significant differences. Additionally, there were significant differences between demographic characteristics and total perspectives and attitudes levels post-intervention (P<0.001), and a significant positive correlation between nurses' total perspectives and attitudes post-intervention (r= 0.980 & p= 0.001). Conclusion: The study concluded that the training sessions significantly improved maternity nurses' perspectives and attitudes towards using AI-driven CTG for fetal monitoring. Recommendations: Providing maternity nurses with in-service training programs on AI applications in obstetrics and ongoing education on AI.

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