Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review [0.03%]
数据驱动的临床建议在日常实践中被信任和认可的情况：一项范围审查
Ruth P Evans,Louise D Bryant,Gregor Russell et al.
Ruth P Evans et al.
Background: Increasing attention is being given to the analysis of large health datasets to derive new clinical decision support systems (CDSS). However, few data-driven CDSS are being adopted into clinical practice. Trus...
Key interoperability Factors for patient portals and Electronic health Records: A scoping review [0.03%]
患者门户和电子健康记录的关键互操作性因素：范围审查
Orna Fennelly,Dearbhla Moroney,Michelle Doyle et al.
Orna Fennelly et al.
Aim: To identify the key requirements and challenges to interoperability between patient portals and electronic health records (EHRs). Introduction: ...
Assessing mental health from registry data: What is the best proxy? [0.03%]
从登记数据评估心理健康：什么是最合适的代理指标？
Simon Gabriël Beerten,Robby De Pauw,Gijs Van Pottelbergh et al.
Simon Gabriël Beerten et al.
Objective: Medical registries frequently underestimate the prevalence of health problems compared with surveys. This study aimed to determine the registry variables that can serve as a proxy for variables studied in a men...
Demographics and clinical features associated with rates of electronic message utilization in the primary care setting [0.03%]
初级护理环境中与电子通讯使用率相关的人口统计学和临床特征
Michael A Hansen,Jacqueline Hirth,Roger Zoorob et al.
Michael A Hansen et al.
Introduction: Electronic messages are growing as an important form of patient-provider communication, particularly in the primary care setting. However, adoption of healthcare technology has been under-utilized by underse...
Canadian employers' perspectives on a new framework for health informatics competencies [0.03%]
加拿大雇主对于卫生信息学能力新框架的观点
Helen Monkman,Samiha Mir,Jason Bond et al.
Helen Monkman et al.
Competencies are the knowledge, skills, and abilities needed to operate and perform successfully in the workplace. Due to the evolving nature of health informatics, it is important continuously examine and refine competencies in this field....
The viewpoints of parents of children with mental disorders regarding the confidentiality and security of their children's information in the Iranian national electronic health record system [0.03%]
伊朗国家电子健康记录系统中关于精神障碍儿童信息的保密性和安全性，家长的观点
Ali Afraz,Mahdieh Montazeri,Mahin Eslami Shahrbabaki et al.
Ali Afraz et al.
Introduction: Electronic health records help collect and communicate patient information among healthcare providers. The confidentiality of information, especially for patients with mental disorders, is paramount due to i...
An artificial intelligence approach to predict infants' health status at birth [0.03%]
预测婴儿出生时健康状况的人工智能方法
Tua Halomoan Harahap,Sofiene Mansouri,Omar Salim Abdullah et al.
Tua Halomoan Harahap et al.
Background: Machine learning could be used for prognosis/diagnosis of maternal and neonates' diseases by analyzing the data sets and profiles obtained from a pregnant mother. ...
Application of a human-centered design for embedded machine learning model to develop data labeling software with nurses: Human-to-Artificial Intelligence (H2AI) [0.03%]
以人为本设计在嵌入式机器学习模型中的应用：与护士合作开发数据标注软件的人工智能到人工智能（H2AI）
Naomi A Kaduwela,Susan Horner,Priyansh Dadar et al.
Naomi A Kaduwela et al.
Background: Nurses are essential for assessing and managing acute pain in hospitalized patients, especially those who are unable to self-report pain. Given their role and subject matter expertise (SME), nurses are also es...
Polygenic risk score comparator (PRScomp): Test population vs. worldwide populations [0.03%]
多基因风险评分比较器（PRScomp）：测试人群与世界各地人群的比较
Marina Laplana,Ricard Lopez-Ortega,Joan Fibla
Marina Laplana
Background: Polygenic risk scores (PRS) are a powerful tool for predicting an individual's genetic risk for complex diseases. Methods: ...
Privacy concerns among the users of a national patient portal: A cross-sectional population survey study [0.03%]
国家级患者门户用户的隐私担忧：一项横断面人群调查研究
Maiju Kyytsönen,Tuulikki Vehko,Virpi Jylhä et al.
Maiju Kyytsönen et al.
Introduction: Seeking and receiving care requires disclosure of personal information which is recorded as health data in electronic health records. Thereafter, restricting the flow of information is dependent on data prot...