{"title":"Intern nurses' views on artificial intelligence in nursing practice: A parallel mixed methods study","authors":"Esra Çavuşoğlu PhD, RN, Abdullah Avcı PhD, RN","doi":"10.1016/j.teln.2026.05.025","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>In recent years, artificial intelligence has driven change and transformation in many areas of life, including healthcare.</div></div><div><h3>Aim</h3><div>The aim of this study is to identify intern nurses' views on artificial intelligence.</div></div><div><h3>Methods</h3><div>A total of 198 intern nurses were included in the parallel mixed design study. Data were collected using the personal information form, artificial intelligence literacy scale, artificial intelligence anxiety scale and semi-structured interview form.</div></div><div><h3>Results</h3><div>In this study, it was found that the mean score of artificial intelligence literacy scale was 58.30 ± 21.92 and the mean score of artificial intelligence anxiety scale was 43.68 ± 18.79. It was also found that participants saw artificial intelligence as an innovative program that provides healthcare support, but had concerns about information security.</div></div><div><h3>Conclusions</h3><div>This study shows that being a woman, having concerns about artificial intelligence, entrusting vital decisions to artificial intelligence, and knowledge of artificial intelligence are important variables predicting artificial intelligence anxiety. It was also found that while intern nurses have a positive attitude toward artificial intelligence, they have ethical concerns about patient confidentiality and information disclosure.</div></div>","PeriodicalId":46287,"journal":{"name":"Teaching and Learning in Nursing","volume":"21 4","pages":"Pages e1580-e1587"},"PeriodicalIF":2.5000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teaching and Learning in Nursing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S155730872600154X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/11 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Background
In recent years, artificial intelligence has driven change and transformation in many areas of life, including healthcare.
Aim
The aim of this study is to identify intern nurses' views on artificial intelligence.
Methods
A total of 198 intern nurses were included in the parallel mixed design study. Data were collected using the personal information form, artificial intelligence literacy scale, artificial intelligence anxiety scale and semi-structured interview form.
Results
In this study, it was found that the mean score of artificial intelligence literacy scale was 58.30 ± 21.92 and the mean score of artificial intelligence anxiety scale was 43.68 ± 18.79. It was also found that participants saw artificial intelligence as an innovative program that provides healthcare support, but had concerns about information security.
Conclusions
This study shows that being a woman, having concerns about artificial intelligence, entrusting vital decisions to artificial intelligence, and knowledge of artificial intelligence are important variables predicting artificial intelligence anxiety. It was also found that while intern nurses have a positive attitude toward artificial intelligence, they have ethical concerns about patient confidentiality and information disclosure.
期刊介绍:
Teaching and Learning in Nursing is the Official Journal of the National Organization of Associate Degree Nursing. The journal is dedicated to the advancement of Associate Degree Nursing education and practice, and promotes collaboration in charting the future of health care education and delivery. Topics include: - Managing Different Learning Styles - New Faculty Mentoring - Legal Issues - Research - Legislative Issues - Instructional Design Strategies - Leadership, Management Roles - Unique Funding for Programs and Faculty