The role of governance in the digital transformation of healthcare: Results of a survey in the WHO Europe Region [0.03%]
数字化转型中治理在医疗卫生行业的作用——世卫组织欧洲区域调查结果
Fernandes Fara Aninha,Chaltikyan Georgi,Adib Keyrellous et al.
Fernandes Fara Aninha et al.
Optimal governance is among the key facilitators of the digital transformation of health systems intended to improve access to healthcare, quality, safety, and efficiency, and to attain universal health coverage. This paper highlights the f...
Towards reliable forecasting of healthcare capacity needs: A scoping review and evidence mapping [0.03%]
面向可靠的医疗容量需求预测：综述与证据地图研究
Simon Grøntved,Mette Jørgine Kirkeby,Søren Paaske Johnsen et al.
Simon Grøntved et al.
Background: The COVID-19 pandemic has highlighted the critical importance of robust healthcare capacity planning and preparedness for emerging crises. However, healthcare systems must also adapt to more gradual temporal c...
Exploring patient-centered design solutions of a telehealth app for HIV - A qualitative study [0.03%]
一项关于艾滋病人远程健康应用程序以患者为中心的设计解决方案定性研究
Jannik Schaaf,Timm Weber,Michael von Wagner et al.
Jannik Schaaf et al.
Background: The Communication and Tracing App HIV (COMTRAC-HIV) project is developing a mobile health (mHealth) app for integrated care of HIV patients in Germany. The complexity of HIV treatment and continuous care neces...
Reliability and validity of the Chinese version of the mobile Agnew Relationship Measure (mARM-C) [0.03%]
中国版移动Agnew关系测量量表(mARM-C)的可靠性和有效性
Ran Mo,Shihong Hu
Ran Mo
Object: This research aims to test the reliability and validity of the Chinese version of the mobile Agnew Relationship Measure (mARM-C). Methods: ...
HL7 Fast Healthcare Interoperability Resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease management: Scoping review [0.03%]
基于 HL7 FHIR 的数字健康生态系统在慢性病管理中的应用：系统综述研究
Roberta Gazzarata,Joao Almeida,Lars Lindsköld et al.
Roberta Gazzarata et al.
Background: The prevalence of chronic diseases has shifted the burden of disease from incidental acute inpatient admissions to long-term coordinated care across healthcare institutions and the patient's home. Digital heal...
Segmentation-based BI-RADS ensemble classification of breast tumours in ultrasound images [0.03%]
基于分割的乳腺肿瘤BI-RADS集成分类超声图像研究
Maciej Bobowicz,Mikołaj Badocha,Katarzyna Gwozdziewicz et al.
Maciej Bobowicz et al.
Background: The development of computer-aided diagnosis systems in breast cancer imaging is exponential. Since 2016, 81 papers have described the automated segmentation of breast lesions in ultrasound images using artific...
Development and external validation of tools for categorizing diagnosis codes in international hospital data [0.03%]
用于分类国际医院数据诊断代码的工具的开发和外部验证
Sarah L Malecki,Anne Loffler,Daniel Tamming et al.
Sarah L Malecki et al.
Background: The Clinical Classification Software Refined (CCSR) is a tool that groups many thousands of International Classification of Diseases 10th Revision (ICD-10) diagnosis codes into approximately 500 clinically mea...
Advancing ICU patient care with a Real-Time predictive model for mechanical Power to mitigate VILI [0.03%]
基于实时预测模型的机械通气功率调控以降低重症患者肺损伤风险管理方案研究
M Ruiz-Botella,S Manrique,J Gomez et al.
M Ruiz-Botella et al.
Background: Invasive Mechanical Ventilation (IMV) in Intensive Care Units (ICU) significantly increases the risk of Ventilator-Induced Lung Injury (VILI), necessitating careful management of mechanical power (MP). This st...
Exploring potential drivers of patient engagement with their health data through digital platforms: A scoping review [0.03%]
通过数字平台探索患者与其健康数据互动的潜在驱动因素：一项范围综述
Robin van Kessel,Sruthi Ranganathan,Michael Anderson et al.
Robin van Kessel et al.
Background: Patient engagement when providing patient access to health data results from an interaction between the available tools and individual capabilities. The recent digital advancements of the healthcare field have...
A knowledge-enhanced interpretable network for early recurrence prediction of hepatocellular carcinoma via multi-phase CT imaging [0.03%]
一种基于多相CT影像的知识增强型可解释网络用于肝细胞癌早期复发预测
Yu Gao,Xue Yang,Hongjun Li et al.
Yu Gao et al.
Background: Predicting early recurrence (ER) of hepatocellular carcinoma (HCC) accurately can guide treatment decisions and further enhance survival. Computed tomography (CT) imaging, analyzed by deep learning (DL) models...