Use of Artificial Intelligence in Nursing Education

In studies on artificial intelligence in the field of nursing; it is observed that nurses reduce their workload by remotely monitoring psychiatric patients with an artificial intelligence-based sensor, there is a significant decrease in emergency room visits with an artificial intelligence-supported camera monitoring system to prevent dementia patients from falling, and the risk of pressure sores in patients in the intervention group is reduced by developing a network measurement system to predict pressure sores. Such widespread use of artificial intelligence in the nursing profession contributes to faster analysis and active management of the care process by nurses in diagnosing possible risk factors and solving any problems encountered. Thus, nurses' workload will decrease and a more efficient nursing care process will emerge. The attitude towards artificial intelligence in nursing students preparing for the profession is actually positive even in the first years of education. These results show that new generation nurses adopt artificial intelligence and its usability in the profession in the future. In fact, more academic and practical studies are needed on artificial intelligence, which has entered all professional lives in a new and rapid way. The increase in such studies, especially among students preparing for the nursing profession, will reflect both the knowledge gap in students and the necessity of proven studies in the field. The attitudes of nursing students towards new technologies and their acceptance of these innovations are especially important because they play a key role in health care. Therefore, it is necessary to learn how nursing students understand and adopt new technologies such as artificial intelligence-based technologies. When looking at the literature, it is possible to come across different studies on artificial intelligence in nursing students. However, in this study, the effect of using ChatGPT, one of the artificial intelligence tools, on case analysis and medical artificial intelligence readiness in nursing students will be evaluated.

Inclusion criteria

• Students who agree to participate in the study
• 2nd year students who are actively studying in the Nursing Department of the Faculty of Health Sciences of a university
• Students who use smartphones

Exclusion criteria

• Not accepting to participate in the research,
• Not using a smartphone