Perceptions of Cognitive Load and Workload in Nurse Handoffs: A Comparative Study Across Differing Patient-Nurse Ratios and Acuity Levels [0.03%]
不同护理比例和病情严重程度下护士交接班的工作负荷与认知负荷的知觉：一种跨域比较研究
Benjamin J Galatzan,Liang Shan,Elizabeth Johnson et al.
Benjamin J Galatzan et al.
Medical errors, often resulting from miscommunication and cognitive lapses during handoffs, account for numerous preventable deaths and patient harm annually. This research examined nurses' perceived workload and cognitive load during hando...
Effectiveness of Mobile Application-Based Intervention on Medication Adherence Among Pulmonary Tuberculosis Patients: A Systematic Review [0.03%]
基于移动应用程序的干预措施对肺结核患者药物依从性影响的系统评价
Syahrul Syahrul,Andi Masyitha Irwan,Ariyanti Saleh et al.
Syahrul Syahrul et al.
Objectives: To analyze the effectiveness of mobile application-based interventions on medication adherence among pulmonary tuberculosis patients. Eligibil...
Best Practices in Supporting Inpatient Communication With Technology During Visitor Restrictions: An Integrative Review [0.03%]
疫情期间住院患者沟通技术支持的整合评价研究中的最佳实践
Stephanie Brown,Jamie Guillergan,Eric Beedle et al.
Stephanie Brown et al.
Background: Since the onset of the COVID-19 pandemic, healthcare workers around the world have experimented with technologies to facilitate communication and care for patients and their care partners. ...
Markus Förstel,Oliver Haas,Stefan Förstel et al.
Markus Förstel et al.
Adequate nurse staffing is crucial for quality healthcare, necessitating accurate predictions of patient arrival rates. These forecasts can be determined using supervised machine learning methods. Optimization of machine learning methods is...
The Impact of a Digital Cancer Survivorship Patient Engagement Toolkit on Older Cancer Survivors' Health Outcomes [0.03%]
数字化癌症幸存者患者参与工具包对老年癌症幸存者健康结果的影响
Eun-Shim Nahm,Mary McQuaige,Katarina Steacy et al.
Eun-Shim Nahm et al.
Cancer predominantly affects older adults. An estimated 62% of the 15.5 million American cancer survivors are 65 years or older. Provision of supportive care is critical to this group; however, limited resources are available to them. As ol...
A Machine Learning-Based Prediction Model for the Probability of Fall Risk Among Chinese Community-Dwelling Older Adults [0.03%]
基于机器学习的中国社区居住老年人跌倒风险概率预测模型
Zhou Zhou,Danhui Wang,Jun Sun et al.
Zhou Zhou et al.
Fall is a common adverse event among older adults. This study aimed to identify essential fall factors and develop a machine learning-based prediction model to predict the fall risk category among community-dwelling older adults, leading to...
Use of the Electronic Health Record to Improve Nursing Chart Preparation [0.03%]
利用电子健康记录改善护理图表准备工作的运用
Laura M Sherburne,Jessica M Runge,Abby L Larson
Laura M Sherburne
In a medical specialty clinic located in a rural community, a nursing team identified an opportunity to decrease the time nursing staff spent preparing charts for patients' upcoming clinical appointments. In collaboration with an informatic...
Friends of the National Library of Medicine Workshop on Precision Health: What Does It Mean for Nursing Practice? Accelerating the Integration of Precision Health Into Nursing Practice [0.03%]
国立医学图书馆精准医疗工作坊：对护理实践意味着什么？加速将精准医疗融入到护理实践中
Kathleen A McCormick,Laurie Badzek,Kathleen Calzone
Kathleen A McCormick
Challenges of Creating a Peer Support Online Community for Patients With Diabetes-A Case Study [0.03%]
糖尿病患者支持性在线社区建立的挑战——一个案例研究
Arantxa Bujanda-Sainz de Murieta,Minna Isomursu,Paula Escalada-Hernández et al.
Arantxa Bujanda-Sainz de Murieta et al.
This study aims to explore the challenges and strategies in creating online communities for individuals with diabetes, emphasizing their role in fostering connections among individuals facing similar health conditions. Using a single-case a...
The Development and Impact of a Respiratory Patient Care Mobile Application on Nursing Students [0.03%]
移动应用程序在护理学教学中的发展及其影响——以呼吸科病人护理为例
Hyewon Kim
Hyewon Kim
This study aimed to develop a virtual experiential application for respiratory patient care and evaluate its impact on nursing students' knowledge, self-efficacy, clinical practice anxiety, and performance confidence. This application with ...