Detailed Analysis and Road Map Proposal for Care Transition Records and Their Transmission Process: Mixed Methods Study [0.03%]
护理过渡记录及其传输过程的详细分析和路线图建议：混合方法研究
Elisabeth Veronica Mess,Matthias Regner,Sabahudin Balic et al.
Elisabeth Veronica Mess et al.
Background: The digitalization of health care in Germany holds great potential to improve patient care, resource management, and efficiency. However, strict data protection regulations, fragmented infrastructures, and res...
Examining the Role of AI in Changing the Role of Nurses in Patient Care: Systematic Review [0.03%]
评估人工智能在改变患者护理中护士角色的作用：系统评价
Inas Al Khatib,Malick Ndiaye
Inas Al Khatib
Background: This review investigates the relationship between artificial intelligence (AI) use and the role of nurses in patient care. AI exists in health care for clinical decision support, disease management, patient en...
Impact of Attached File Formats on the Performance of ChatGPT-4 on the Japanese National Nursing Examination: Evaluation Study [0.03%]
附件文件格式对ChatGPT-4在日本国家护士执业资格考试表现的影响：评价研究
Kazuya Taira,Takahiro Itaya,Shuntaro Yada et al.
Kazuya Taira et al.
This research letter discusses the impact of different file formats on ChatGPT-4's performance on the Japanese National Nursing Examination, highlighting the need for standardized reporting protocols to enhance the integration of artificial...
Unobtrusive Nighttime Movement Monitoring to Support Nursing Home Continence Care: Algorithm Development and Validation Study [0.03%]
不显眼的夜间照护监控以改善老年护理机构的失禁护理：算法开发与验证研究
Hannelore Strauven,Chunzhuo Wang,Hans Hallez et al.
Hannelore Strauven et al.
Background: The rising prevalence of urinary incontinence (UI) among older adults, particularly those living in nursing homes (NHs), underscores the need for innovative continence care solutions. The implementation of an ...
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 ...