We Know What You Agreed To, Don't We?-Evaluating the Quality of Paper-Based Consents Forms and Their Digitalized Equivalent Using the Example of the Baltic Fracture Competence Centre Project [0.03%]
我们了解你同意的内容，不是吗？-通过波罗的海骨折中心项目的纸质和数字化同意书评估其质量的例子
Henriette Rau,Dana Stahl,Anna-Juliana Reichel et al.
Henriette Rau et al.
Introduction: The informed consent is the legal basis for research with human subjects. Therefore, the consent form (CF) as legally binding document must be valid, that is, be completely filled-in stating the person's dec...
Automatic Identification of Self-Reported COVID-19 Vaccine Information from Vaccine Adverse Events Reporting System [0.03%]
来自疫苗不良事件报告系统的自我报告的COVID-19疫苗信息自动识别
Jay S Patel,Sonya Zhan,Zasim Siddiqui et al.
Jay S Patel et al.
Background: The short time frame between the coronavirus disease 2019 (COVID-19) pandemic declaration and the vaccines authorization led to concerns among public regarding the safety and efficacy of the vaccines. The Food...
Synthetic Tabular Data Evaluation in the Health Domain Covering Resemblance, Utility, and Privacy Dimensions [0.03%]
健康领域中合成表格数据的评估包括相似性、实用性和隐私性的维度
Mikel Hernadez,Gorka Epelde,Ane Alberdi et al.
Mikel Hernadez et al.
Background: Synthetic tabular data generation is a potentially valuable technology with great promise for data augmentation and privacy preservation. However, prior to adoption, an empirical assessment of generated synthe...
Consistency as a Data Quality Measure for German Corona Consensus Items Mapped from National Pandemic Cohort Network Data Collections [0.03%]
一致性作为数据质量度量用于德国新冠共识项的一致性评估，这些共识项来自国家级疫情队列网络数据收集
Khalid O Yusuf,Olga Miljukov,Anne Schoneberg et al.
Khalid O Yusuf et al.
Background: As a national effort to better understand the current pandemic, three cohorts collect sociodemographic and clinical data from coronavirus disease 2019 (COVID-19) patients from different target populations with...
Rare Diseases in Hospital Information Systems-An Interoperable Methodology for Distributed Data Quality Assessments [0.03%]
医院信息系统中的罕见疾病-分布式数据质量评估的互操作性方法
Kais Tahar,Tamara Martin,Yongli Mou et al.
Kais Tahar et al.
Background: Multisite research networks such as the project "Collaboration on Rare Diseases" connect various hospitals to obtain sufficient data for clinical research. However, data quality (DQ) remains a challenge for th...
Multivariate Sequential Analytics for Cardiovascular Disease Event Prediction [0.03%]
心血管疾病事件预测的多变量顺序分析
William Hsu,Jim Warren,Patricia Riddle
William Hsu
Background: Automated clinical decision support for risk assessment is a powerful tool in combating cardiovascular disease (CVD), enabling targeted early intervention that could avoid issues of overtreatment or undertreat...
Jaime Delgado,Silvia Llorente
Jaime Delgado
Background: Privacy management is a key issue when dealing with storage and distribution of health information. However, FAIR (Findability, Accessibility, Interoperability, and Reusability) principles when sharing informa...
Aligning Semantic Interoperability Frameworks with the FOXS Stack for FAIR Health Data [0.03%]
利用FAIR健康数据的FOXS框架来实现语义互操作性框架的一致性
John Meredith,Nik Whitehead,Michael Dacey
John Meredith
Background: FAIR Guiding Principles present a synergy with the use cases for digital health records, in that clinical data need to be found, accessible within a range of environments, and data must interoperate between sy...
Developing Automated Computer Algorithms to Phenotype Periodontal Disease Diagnoses in Electronic Dental Records [0.03%]
开发自动计算机算法以确定电子牙科记录中牙周病的表型诊断
Jay Sureshbhai Patel,Ryan Brandon,Marisol Tellez et al.
Jay Sureshbhai Patel et al.
Objective: Our objective was to phenotype periodontal disease (PD) diagnoses from three different sections (diagnosis codes, clinical notes, and periodontal charting) of the electronic dental records (EDR) by developing t...
Nurse Managers' Opinions of Information System Support for Performance Management: A Correlational Study [0.03%]
护士长对于信息系统支持绩效管理的观点：一个相关性研究
Kaija Saranto,Samuli Koponen,Tuulikki Vehko et al.
Kaija Saranto et al.
Background: Current information systems do not effectively support nurse managers' duties, such as reporting, resource management, and assessing clinical performance. Few performance management information systems are ava...