Healthcare 5.0: A secure and distributed network for system informatics in medical surgery [0.03%]
医疗保健5.0：医学外科信息系统分布式的安全网络
Chenggang Wu,Yuk Ming Tang,Wei Ting Kuo et al.
Chenggang Wu et al.
Introduction: Health records serve not only as a database of a patient's health history and treatment process but also as a crucial tool for doctors to diagnose and treat patients. However, the storage and sharing of thes...
Combining user-centered design and behavioral theory to enhance health technologies: A personas-based approach for a primary-care based multifactorial falls risk assessment tool [0.03%]
结合以用户为中心的设计和行为理论来增强健康技术：一种基于人物角色的主要护理多因素跌倒风险评估工具的方法
Sara S Groos,Annemiek J Linn,Judith I Kuiper et al.
Sara S Groos et al.
Introduction: Multifactorial falls risk assessment tools (FRATs) can be an effective falls prevention method for older adults, but are often underutilized by health care professionals (HCPs). This study aims to enhance th...
Machine learning-based survival analysis approaches for predicting the risk of pneumonia post-stroke discharge [0.03%]
基于机器学习的生存分析方法，用于预测卒中出院后肺炎的风险
Chang-Ching Lee,Sheng-You Su,Sheng-Feng Sung
Chang-Ching Lee
Background: Post-stroke pneumonia (PSP) is common among stroke patients. PSP occurring after hospital discharge continues to increase the risk of poor functional outcomes and death among stroke survivors. Currently, there...
Optimising interruptive clinical decision support alerts for antithrombotic duplicate prescribing in hospital [0.03%]
优化住院患者抗凝治疗重复处方的中断型临床决策支持警报
Milan Sundermann,Olivia Clendon,Richard McNeill et al.
Milan Sundermann et al.
Introduction: Duplicate prescribing clinical decision support alerts can prevent important prescribing errors but are frequently the cause of much alert fatigue. Stat dose prescriptions are a known reason for overriding t...
Evaluation of D-dimer and prothrombin time in alcohol related liver cirrhosis with comparison of machine learning analyses [0.03%]
D-二聚体和凝血酶原时间在酒精性肝硬化中的评估及机器学习分析的比较研究
Hyeongyu Lee,Gilsung Yoo,Daewoo Pak et al.
Hyeongyu Lee et al.
Objectives: Liver cirrhosis (LC) can be caused by obesity, alcohol consumption, viral infection, and autoimmune disease. Early diagnosis and management of LC is important for patient quality of life. Non-invasive diagnost...
Perceptions of infection control professionals toward electronic surveillance software supporting inpatient infections: A mixed methods study [0.03%]
感染控制专业人员对电子监控软件支持住院患者感染的感知：一种混合方法研究
Alexandre Baudet,Marie-Jo Brennstuhl,Julie Lizon et al.
Alexandre Baudet et al.
Background: Electronic surveillance software (ESS) collects multiple patient data from hospital software to assist infection control professionals in the prevention and control of hospital-associated infections. This stud...
App-Mohedo®: A mobile app for the management of chronic pelvic pain. A design and development study [0.03%]
App-Mohedo®：一款用于慢性盆腔痛管理的移动应用程序的设计与开发研究
Esther Díaz-Mohedo,Antonio L Carrillo-León,Andrés Calvache-Mateo et al.
Esther Díaz-Mohedo et al.
Background: Chronic Pelvic Pain (CPP) has been described as a public health priority worldwide, and it is among the most prevalent and costly healthcare problems. Graded motor imagery (GMI) is a therapeutic tool that has ...
A pretrain-finetune approach for improving model generalizability in outcome prediction of acute respiratory distress syndrome patients [0.03%]
急性呼吸窘迫综合征患者预后预测的模型泛化能力的提升方法研究
Songlu Lin,Meicheng Yang,Chengyu Liu et al.
Songlu Lin et al.
Background: Early prediction of acute respiratory distress syndrome (ARDS) of critically ill patients in intensive care units (ICUs) has been intensively studied in the past years. Yet a prediction model trained on data f...
Educational interventions and their effects on healthcare professionals' digital competence development: A systematic review [0.03%]
针对医疗保健专业人员数字能力发展的教育干预措施及其影响：系统性综述
E Kulju,E Jarva,A Oikarinen et al.
E Kulju et al.
Introduction: The digitalisation of healthcare requires that healthcare professionals are equipped with adequate digital competencies to be able to deliver high-quality healthcare. Continuing professional education is nee...
Can I trust my fake data - A comprehensive quality assessment framework for synthetic tabular data in healthcare [0.03%]
我可以相信我的假数据吗 - 医疗保健中合成表格数据的全面质量评估框架
Vibeke Binz Vallevik,Aleksandar Babic,Serena E Marshall et al.
Vibeke Binz Vallevik et al.
Background: Ensuring safe adoption of AI tools in healthcare hinges on access to sufficient data for training, testing and validation. Synthetic data has been suggested in response to privacy concerns and regulatory requi...