Comparative Effectiveness of Health Communication Strategies in Nursing: A Mixed Methods Study of Internet, mHealth, and Social Media Versus Traditional Methods [0.03%]
护理健康传播策略的比较效果：互联网、移动卫生和社交媒体与传统方法的混合研究
Mariwan Qadir Hamarash,Radhwan Ibrahim,Marghoob Hussein Yaas et al.
Mariwan Qadir Hamarash et al.
Background: Effective communication is vital in health care, especially for nursing students who are the future of health care delivery. In Iraq's nursing education landscape, characterized by challenges such as resource ...
Comparative Study
JMIR nursing. 2024 Nov 19:7:e55744. DOI:10.2196/55744 2024
Educators' perceptions and experiences of online teaching to foster caring professions students' development of virtual caring skills: A sequential explanatory mixed-methods study [0.03%]
培育虚拟照护技能的教育者在线教学感知与体验研究：基于混合研究方法的解释性研究
Lorelli Nowell,Sonja Johnston,Sara Dolan et al.
Lorelli Nowell et al.
Background: Professionals in caring disciplines have been pivotal in advancing virtual care, which leverages remote technologies to deliver effective support and services from a distance. Educators in these caring profess...
Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model [0.03%]
基于KANO模型的住院患者对护理机器人期望的横断面研究
Aimei Kang,XiuLi Wu
Aimei Kang
Background: Globally, the rates at which the aging population and the prevalence of chronic diseases are increasing are substantial. With declining birth rates and a growing percentage of older individuals, the demand for...
Calculating Optimal Patient to Nursing Capacity: Comparative Analysis of Traditional and New Methods [0.03%]
基于传统和新方法的比较分析计算最优护理床位数上限
Anna Ware,Terri Blumke,Peter Hoover et al.
Anna Ware et al.
Background: Optimal nurse staffing levels have been shown to impact patients' prognoses and safety, as well as staff burnout. The predominant method for calculating staffing levels has been patient-to-nurse (P/N) ratios a...
Comparative Study
JMIR nursing. 2024 Nov 22:7:e59619. DOI:10.2196/59619 2024
Advancing AI Data Ethics in Nursing: Future Directions for Nursing Practice, Research, and Education [0.03%]
护理人工智能数据伦理：护理实践、研究和教育的未来方向
Patricia A Ball Dunlap,Martin Michalowski
Patricia A Ball Dunlap
The ethics of artificial intelligence (AI) are increasingly recognized due to concerns such as algorithmic bias, opacity, trust issues, data security, and fairness. Specifically, machine learning algorithms, central to AI technologies, are ...
Advancing AI Data Ethics in Nursing: Future Directions for Nursing Practice, Research, and Education [0.03%]
护理人工智能数据伦理：护理实践、研究和教育的未来方向
Patricia A Ball Dunlap,Martin Michalowski
Patricia A Ball Dunlap
The ethics of artificial intelligence (AI) are increasingly recognized due to concerns such as algorithmic bias, opacity, trust issues, data security, and fairness. Specifically, machine learning algorithms, central to AI technologies, are ...
Remote Patient Monitoring at Home in Patients With COVID-19: Narrative Review [0.03%]
新冠肺炎患者的远程居家监测：叙述性综述
Justien Cornelis,Wendy Christiaens,Christophe de Meester et al.
Justien Cornelis et al.
Background: During the pandemic, health care providers implemented remote patient monitoring (RPM) for patients experiencing COVID-19. RPM is an interaction between health care professionals and patients who are in differ...
Experiences of Using a Digital Guidance and Assessment Tool (the Technology-Optimized Practice Process in Nursing Application) During Clinical Practice in a Nursing Home: Focus Group Study Among Nursing Students [0.03%]
护理专业学生在养老机构临床实习中使用数字指导和评估工具（护理技术优化实践过程应用程序）的体验：护理学生焦点小组研究
Hege Mari Johnsen,Andréa Aparecida Gonçalves Nes,Kristine Haddeland
Hege Mari Johnsen
Background: Nursing students' learning during clinical practice is largely influenced by the quality of the guidance they receive from their nurse preceptors. Students that have attended placement in nursing home settings...
Exploring Student Perspectives and Experiences of Online Opportunities for Virtual Care Skills Development: Sequential Explanatory Mixed Methods Study [0.03%]
探索学生对在线虚拟护理技能发展机会的观点和经验：顺序解释混合方法研究
Lorelli Nowell,Sara Dolan,Sonja Johnston et al.
Lorelli Nowell et al.
Background: Caring profession students require skills and competencies to proficiently use information technologies for providing high-quality and effective care. However, there is a gap in exploring the perceptions and e...
AI-Assisted Decision-Making in Long-Term Care: Qualitative Study on Prerequisites for Responsible Innovation [0.03%]
基于负责任的创新的老年护理中的AI助决策：质性研究及其先决条件
Dirk R M Lukkien,Nathalie E Stolwijk,Sima Ipakchian Askari et al.
Dirk R M Lukkien et al.
Background: Although the use of artificial intelligence (AI)-based technologies, such as AI-based decision support systems (AI-DSSs), can help sustain and improve the quality and efficiency of care, their deployment creat...