FHIR Implementation Guide for Stroke: A dual focus on the patient's clinical pathway and value-based healthcare [0.03%]
卒中FHIR实施指南——患者临床路径和基于价值的医疗双轨关注
Gabrielle Dos Santos Leandro,Claudia Maria Cabral Moro,Ricardo João Cruz-Correia et al.
Gabrielle Dos Santos Leandro et al.
Background: Stroke management requires a coordinated strategy, adhering to clinical pathways (CP) and value-based healthcare (VBHC) principles from onset to rehabilitation. However, the discrepancies between these pathway...
External validation of risk prediction model for gestational diabetes: Individual participant data meta-analysis of randomized trials [0.03%]
基于随机对照试验的个体患者数据分析对外源性糖尿病风险预测模型的验证
Sanjeeva Ranasinha,Joanne Enticott,Cheryce L Harrison et al.
Sanjeeva Ranasinha et al.
Background: An original validated risk prediction model with good discriminatory prognostic performance for predicting gestational diabetes (GDM) diagnosis, has been updated for recent international association of diabete...
What is measured matters: A scoping review of analysis methods used for qualitative patient reported experience measure data [0.03%]
如何测量便重要到哪里：定性患者报告经验测量数据分析方法的范畴审查
Teyl Engstrom,Max Shteiman,Kim Kelly et al.
Teyl Engstrom et al.
Introduction: Hospitals are increasingly turning to patients for valuable feedback regarding their care experience. A common method to collect this information is patient reported experience measures (PREMs) surveys. Heal...
#consented - A semantic consent code to facilitate consistent documentation and implementation of consent in collaborative medical research [0.03%]
#consented——一种语义同意代码，便于合作医学研究中同意书的一致性记录和实施
Martin Bialke,Christopher Hampf,Arne Blumentritt et al.
Martin Bialke et al.
Introduction: In German and international research networks different approaches concerning patient consent are applied. So far it is time-consuming to find out to what extent data from these networks can be used for a sp...
Transforming experimental radiology: Design and implementation of an innovative ePACS image storage system for AI imaging research environments [0.03%]
转化实验放射学：用于AI影像研究环境的创新型ePACS图像存储系统的设计与实施
Ignacio Gómez-Rico Junquero,Pedro-Miguel Martinez-Girones,Adrian Galiana-Bordera et al.
Ignacio Gómez-Rico Junquero et al.
Introduction and purpose: We present the needs, design, development, implementation, and accessibility of a crafted experimental PACS (ePACS) system to securely store images, ensuring efficiency and ease of use for AI pro...
Analyzing pain patterns in the emergency department: Leveraging clinical text deep learning models for real-world insights [0.03%]
利用临床文本深度学习模型分析急诊科的疼痛模式以获得现实世界的洞察
James A Hughes,Yutong Wu,Lee Jones et al.
James A Hughes et al.
Objective: To determine the incidence of patients presenting in pain to a large Australian inner-city emergency department (ED) using a clinical text deep learning algorithm. ...
Evaluation of risk factors and survival rates of patients with early-stage breast cancer with machine learning and traditional methods [0.03%]
基于机器学习和传统方法的早期乳腺癌患者危险因素及生存率评估
Emrah Gökay Özgür,Ayse Ulgen,Sinan Uzun et al.
Emrah Gökay Özgür et al.
Background: This article is aimed to make predictions in terms of prognostic factors and compare prediction methods by using Cox proportional hazards regression analysis (CPH), some machine learning techniques and Acceler...
Development of a machine learning-based model for the prediction and progression of diabetic kidney disease: A single centred retrospective study [0.03%]
基于机器学习的糖尿病肾脏疾病预测和进展模型的发展：一项单中心回顾性研究
Sandhya Nayak,Ashwini Amin,Swetha R Reghunath et al.
Sandhya Nayak et al.
Background: Diabetic kidney disease (DKD) is a diabetic microvascular complication often characterized by an unpredictable progression. Hence, early detection and recognition of patients vulnerable to progression is cruci...
Determinants of the intention to use mHealth in the future: Evidence from an intervention study of patients with chronic diseases in Slovenia [0.03%]
斯洛文尼亚慢性病患者未来使用移动医疗的意向决定因素：一项干预研究的证据
Vesna Dolničar,Andraž Petrovčič,Maja Škafar et al.
Vesna Dolničar et al.
Background: Mobile health (mHealth) implementation is crucial for developing sustainable healthcare systems, but it faces the challenge of user acceptance. Extending traditional acceptance models allows for the cognitive,...
The relationship between telemedicine tools and physician satisfaction, quality of care, and patient visits during the COVID-19 pandemic [0.03%]
新冠肺炎疫情期间远程医疗工具与医师满意度、护理质量及患者就诊量的关系
Avijit Sengupta,Sumantra Sarkar,Anol Bhattacherjee
Avijit Sengupta
Objective: The objective of our study is to investigate the impacts of telemedicine technology and its specific tools on physicians' overall satisfaction, quality of care, and percentage of patient visits in ambulatory ca...