Medical artifical intelligence readiness status of nursing students and technostress level: A correlational study

This study aims to examine the relationship between nursing students' readiness and technostress levels regarding the use of artificial intelligence in healthcare.

As artificial intelligence (AI) becomes rapidly widespread in the field of education, especially in critical professions such as nursing, AI-supported education systems offer students more realistic and effective learning experiences.

This study was a cross-sectional, descriptive and correlational study.

It was conducted from two state universities in Turkey. "Personal Information Form", "Technostress Scale" and "Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS)" were used.

The mean score on the Technostress Scale was 20.20 ± 9.68 and the mean total score on the MAIRS-MS was 69.33 ± 13.89. A statistically significant negative correlation was identified between the Technostress Scale score and the MAIRS-MS score. Also, it was ascertained that nursing students who exhibited a strong inclination to engage in technology-supported learning environments also demonstrated higher levels of readiness for medical artificial intelligence.

The present study's findings yielded several notable conclusions. Firstly, it was observed that the technostress levels and artificial intelligence readiness of nursing students were moderate. While the students exhibited a willingness and compatibility with the usation and implementation of artificial intelligence, their awareness of the ethical dimensions of its application was found to be limited. The increase in technostress levels among students negatively affects their readiness for artificial intelligence.