Effect of Artificial Intelligence Course in Nursing on Students' Medical Artificial Intelligence Readiness

BACKGROUND: It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. PURPOSE: This study examined the impact of an AI course in the nursing curriculum on students' medical AI readiness. DESIGN AND METHODS: This comparative quasi-experimental study was conducted with a total of 300 3rd-year nursing students, 129 in the control group and 171 in the experimental group. Students in the experimental group received 28 hours of AI training. The students in the control group were not given any training. Data were collected by a socio-demographic form and the Medical Artificial Intelligence Readiness Scale. RESULTS: An AI course should be included in the nursing curriculum, according to 67.8% of students in the experimental group and 57.4% of students in the control group. The mean score of the experimental group on medical AI readiness was higher ( P < .05) and the effect size of the course on readiness was -0.29. CONCLUSIONS: An AI nursing course positively affects students' readiness for medical AI.