Measuring Ethical Perceptions of AI in Nursing: The Development and Validation of the AI-Ren Ethics in Healthcare (RATI) Scale

IF 2.5 4区医学 Q2 NURSING

International Journal of Nursing Practice Pub Date : 2026-09-29 DOI:10.1111/ijn.70183

Yuanyuan Zou, Huimin Su, Quanyi Long, Mei Xie

{"title":"Measuring Ethical Perceptions of AI in Nursing: The Development and Validation of the AI-Ren Ethics in Healthcare (RATI) Scale","authors":"Yuanyuan Zou, Huimin Su, Quanyi Long, Mei Xie","doi":"10.1111/ijn.70183","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aim</h3>\n \n <p>To develop and validate a culturally sensitive instrument for assessing nurses' ethical perceptions of artificial intelligence in clinical practice.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A two-phase scale development study was conducted among nurses in China. The first phase involved item generation through literature review and expert consultation, followed by item analysis, exploratory factor analysis and reliability testing. The second phase used confirmatory factor analysis and structural modelling to evaluate construct validity and examine relationships between ethical perceptions, technology acceptance and professional burnout.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The final scale consisted of 20 items across four dimensions: Ren-Based Ethical Awareness, AI Responsibility Judgement, Technological Humility and Collaboration and Integration of Cultural Values. The instrument demonstrated satisfactory reliability, construct validity, convergent validity and discriminant validity. Ethical perceptions of artificial intelligence were positively associated with technology acceptance and negatively associated with professional burnout, supporting the practical relevance of the scale in healthcare settings.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The AI-Ren Ethics in Healthcare Scale provides a reliable and culturally grounded instrument for assessing nurses' ethical perceptions of artificial intelligence in clinical practice. The scale may support ethical evaluation, education and culturally responsive implementation of artificial intelligence in healthcare environments.</p>\n </section>\n </div>","PeriodicalId":14223,"journal":{"name":"International Journal of Nursing Practice","volume":"32 5","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nursing Practice","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ijn.70183","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}

引用次数: 0

Abstract

Aim

To develop and validate a culturally sensitive instrument for assessing nurses' ethical perceptions of artificial intelligence in clinical practice.

Methods

A two-phase scale development study was conducted among nurses in China. The first phase involved item generation through literature review and expert consultation, followed by item analysis, exploratory factor analysis and reliability testing. The second phase used confirmatory factor analysis and structural modelling to evaluate construct validity and examine relationships between ethical perceptions, technology acceptance and professional burnout.

Results

The final scale consisted of 20 items across four dimensions: Ren-Based Ethical Awareness, AI Responsibility Judgement, Technological Humility and Collaboration and Integration of Cultural Values. The instrument demonstrated satisfactory reliability, construct validity, convergent validity and discriminant validity. Ethical perceptions of artificial intelligence were positively associated with technology acceptance and negatively associated with professional burnout, supporting the practical relevance of the scale in healthcare settings.

Conclusion

The AI-Ren Ethics in Healthcare Scale provides a reliable and culturally grounded instrument for assessing nurses' ethical perceptions of artificial intelligence in clinical practice. The scale may support ethical evaluation, education and culturally responsive implementation of artificial intelligence in healthcare environments.

查看原文本刊更多论文

测量人工智能在护理中的伦理感知：AI- ren医疗伦理（RATI）量表的开发与验证。

目的：开发并验证一种文化敏感的工具，用于评估护士在临床实践中对人工智能的道德观念。方法：采用两期量表对全国护士进行问卷调查。第一阶段通过文献回顾和专家咨询生成项目，然后进行项目分析、探索性因子分析和信度检验。第二阶段使用验证性因子分析和结构模型来评估结构效度，并检查道德感知、技术接受和职业倦怠之间的关系。结果：最终量表包括人本位伦理意识、人工智能责任判断、技术谦卑和文化价值观的协作与融合四个维度的20个项目。该工具具有良好的信度、结构效度、收敛效度和判别效度。人工智能的伦理观念与技术接受度呈正相关，与职业倦怠负相关，支持了该量表在医疗保健环境中的实际相关性。结论：AI-Ren医疗伦理量表为评估护士在临床实践中对人工智能的伦理认知提供了一个可靠的、有文化基础的工具。该量表可支持医疗保健环境中人工智能的伦理评估、教育和文化响应实施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Nursing Practice NURSING-

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： International Journal of Nursing Practice is a fully refereed journal that publishes original scholarly work that advances the international understanding and development of nursing, both as a profession and as an academic discipline. The Journal focuses on research papers and professional discussion papers that have a sound scientific, theoretical or philosophical base. Preference is given to high-quality papers written in a way that renders them accessible to a wide audience without compromising quality. The primary criteria for acceptance are excellence, relevance and clarity. All articles are peer-reviewed by at least two researchers expert in the field of the submitted paper.