Ashley J S Scott,Qimeng Zhao,Jo-Fan Pan et al.
Ashley J S Scott et al.
Background: Artificial intelligence (AI) tools are increasingly used in clinical settings, yet most syntheses focus on nurses' attitudes or readiness rather than experiences after direct use in practice. ...
The Associations of Emotional Intelligence, AI Self-Efficacy, and AI Literacy Among Nursing Undergraduates Under the NUR.S.E.S. Framework: Network Analysis [0.03%]
基于NUR.S.E.S.模型的护理专业本科生情绪智力、人工智能自我效能及人工智能素养之间的关联：网络分析
XiaoHui Fan,Jingjing Sun,LingHui Zhang et al.
XiaoHui Fan et al.
Background: With the rapid development of generative artificial intelligence (AI) and its deep integration into nursing education, nursing students' AI literacy (AS) has become a critical competency for their professional...
Digital Health Literacy and Attitudes Toward Telehealth Use in Practice Among Nursing Students in Saudi Arabia: Cross-Sectional Study [0.03%]
沙特阿拉伯护理专业学生数字健康素养及实践中的远程医疗使用态度调查：横断面研究
Muna Alharbi,Ahmed S Alharthi,Abdulrahman A Azab et al.
Muna Alharbi et al.
Background: Nursing students are the future workforce, and their readiness to use digital health tools is important. Previous studies have focused on knowledge and attitudes; however, they have not examined the wide range...
Digital Leadership Scale for Clinical Nurses: Development and Validation of an Instrument [0.03%]
临床护士数字化领导力测评量表的构建和验证
Ji-Hyeon Lee,Sun-Young Jung
Ji-Hyeon Lee
Background: The rapid advancement of digital technologies, combined with the evolving complexity of health care environments, has introduced a new paradigm in nursing practice. Clinical nurses are now required not only to...
Using Social Media Listening to Understand the Pressure Injury Experience: A Qualitative Descriptive Study [0.03%]
利用社交媒体倾听了解压力性损伤体验：一种描述性的定性研究
Jessica Zihui Song,Isabel Tsang,Parthena Mouratidis et al.
Jessica Zihui Song et al.
Background: Pressure injuries (PIs) are a common complication in people with reduced mobility or sensation and can be burdensome for individuals with PIs and their caregivers. Valuable insights and real-world challenges f...
Effectiveness of Artificial Intelligence-Based Nursing Interventions for Chronic Illnesses Care: An Umbrella Review [0.03%]
基于人工智能的护理干预在慢性病护理中的有效性：伞式回顾研究
Jee Young Joo,Megan F Liu,Young Woo Cho et al.
Jee Young Joo et al.
Background: Artificial intelligence (AI)-based nursing interventions are increasingly being employed to manage chronic illnesses; however, their definitive impact on clinical outcomes remains inconclusive, necessitating a...
Association Between Electronic Health Record-Based Nursing Workload and Turnover: Retrospective Cohort Study [0.03%]
基于电子健康记录的护理工作量与离职率之间的关联：回顾性队列研究
Linlin Xia,Daphne Lew,Lindsay Tessmer et al.
Linlin Xia et al.
Background: Nurse turnover remains a major challenge for health systems, yet objective, scalable measures of workload that predict turnover are limited. Electronic health record (EHR) audit logs offer a potential data sou...
Assessing Digital Literacy Among Nursing Faculty Under the Artificial Intelligence-Enhanced Technological Pedagogical Content Knowledge Framework: Cross-Sectional Survey Analysis [0.03%]
基于人工智能增强的 technological pedagogical content knowledge 模型评估护理教师的数字素养：横断面调查分析
Junyu Zhao,Xiaomin Hua,Rong Hu et al.
Junyu Zhao et al.
Background: Digital literacy has become a core competence for nursing faculty to adapt to the digital transformation of education, improve teaching quality, and cultivate innovative nursing talents. ...
Informatics Competency and Technology Self-Efficacy Levels Among Undergraduate Nursing Students: Cross-Sectional Study [0.03%]
护理专业本科生的 informatics 素养和技术自我效能水平：横断面研究
Nader Alnomasy,Habib Alrashedi,Sharifah Alsayed et al.
Nader Alnomasy et al.
Background: The Saudi Arabian health care sector is transforming under Vision 2030 with the goal of digitizing its services. This necessitates a digitally prepared nursing workforce; however, there is evidence suggesting ...
Voice-Based Structured Nursing Documentation Using Automatic Speech Recognition and Large Language Models: Development and Evaluation Study [0.03%]
基于自动语音识别和大型语言模型的语音结构化护理文档记录系统开发与评价研究
Meng-Han Su,Wei-Chun Wang,Yi-Min Hsu et al.
Meng-Han Su et al.
Background: For clinical nurses, manually entering information into hospital information systems (HISs) remains time-consuming and prone to omissions. Although speech recognition can reduce the need for manual entry, its ...