Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study [0.03%]
基于胸部X光片的慢性阻塞性肺病诊断：多中心及多模态研究
Ryan Wang,Li-Ching Chen,Lama Moukheiber et al.
Ryan Wang et al.
Purpose: Chronic obstructive pulmonary disease (COPD) is one of the most common chronic illnesses in the world. Unfortunately, COPD is often difficult to diagnose early when interventions can alter the disease course, and...
Machine learning-based speech recognition system for nursing documentation - A pilot study [0.03%]
基于机器学习的护理文件语音识别系统试点研究
Tso-Ying Lee,Chin-Ching Li,Kuei-Ru Chou et al.
Tso-Ying Lee et al.
Purpose: Considering the significant workload of nursing tasks, enhancing the efficiency of nursing documentation is imperative. This study aimed to evaluate the effectiveness of a machine learning-based speech recognitio...
Occupational health assessment summary designed for semantic interoperability [0.03%]
用于语义互操作性的职业健康评估摘要
Evgeniy Krastev,Dimitar Tcharaktchiev,Petko Kovachev et al.
Evgeniy Krastev et al.
Background: Geopolitical and economic crises force a growing number of people to leave their countries and search better employment opportunities abroad. Meanwhile, the highly competitive labor market provides opportuniti...
The relationship between e-health literacy and information technology acceptance, and the willingness to share personal and health information among pregnant women [0.03%]
孕妇的电子健康素养与信息技术接受度及其个人和健康信息分享意愿之间的关系
Sajedeh Rahdar,Mahdieh Montazeri,Moghadameh Mirzaee et al.
Sajedeh Rahdar et al.
Background: Many factors may affect pregnant women's willingness to accept information (IT) technology and share their personal and health information. One of these factors is their e-health literacy level. ...
Quantifying the advantages and acceptability of linking dialysis machines to an electronic medical record [0.03%]
量化透析机与电子医疗记录相连的优势及可接受性
Stephen Geoffrey Holt,Anitha Nundlall,Mohamed Alameri et al.
Stephen Geoffrey Holt et al.
Aim: To establish and quantify the time saved by redirecting nursing workload from recording and entering haemodynamic data during chronic dialysis sessions by linking dialysis machines directly to the electronic medical ...
Digital health advances in the European Region, but uneven progress in digital literacy and inclusion leave disadvantaged populations behind [0.03%]
欧洲区域数字卫生取得进展，但数字素养和包容性发展不均使弱势群体落后
Hans Henri P Kluge,Natasha Azzopardi-Muscat,David Novillo-Ortiz
Hans Henri P Kluge
Exploration of the nonlinear relationship between social support and the establishment of long-term doctor-patient relationships: An empirical analysis based on virtual doctor teams [0.03%]
基于虚拟医生团队的社会支持与长期医患关系建立的非线性关系探索——一项实证研究
Xuan Liu,Xinyu Jia
Xuan Liu
Background: The continued development of information technology has led to the emergence of online medical consultation platforms. Online virtual doctor teams, a new model in online medical care, have received significant...
Factors affecting patient and public perceptions of the adoption of electronic health record sharing: A Hong Kong study [0.03%]
影响电子健康记录共享采用的因素：一项基于香港的研究
Rebecca Ong
Rebecca Ong
Background and objectives: The disclosure of personal health information in electronic health records (eHR) highlights privacy and security concerns that are complicated by the digitization and interoperability of health ...
Patient portal use: Persistent disparities from pre- to post-onset of the COVID-19 pandemic [0.03%]
新冠肺炎流行前后患者门户网站使用的持续差异性
Naheed Ahmed,Kavya Sanghavi,Shrey Mathur et al.
Naheed Ahmed et al.
Introduction: The primary objective of this study was to examine patient portal usage from pre- to post-onset of the COVID-19 pandemic to determine what impact the pandemic had on portal usage by patient sub-populations. ...
Predicting return to work after traumatic brain injury using machine learning and administrative data [0.03%]
基于机器学习和行政数据预测创伤性脑损伤后的重返工作岗位状况
Helena Van Deynse,Wilfried Cools,Viktor-Jan De Deken et al.
Helena Van Deynse et al.
Background: Accurate patient-specific predictions on return-to-work after traumatic brain injury (TBI) can support both clinical practice and policymaking. The use of machine learning on large administrative data provides...