A pilot for automated pages from the EHR: Improving time between active restraint orders in the pediatric intensive care unit [0.03%]
一种来自电子健康档案的自动化页面试点：改善儿科重症监护病房之间主动约束令的时间间隔
Jessica Pourian,Aris Oates
Jessica Pourian
Introduction: Pediatric restraint orders require frequent renewal to ensure patient safety. Previously, providers depended on nurses paging them upon order expiration, leading to lapses. Methods: In April 2023, we implemented an alerting sy...
Design principles for enhancing a digital health platform for patients with atrial fibrillation [0.03%]
房颤患者数字健康平台的优化设计原则
Lilja Guðrún Jóhannsdóttir,Helga Ýr Erlingsdóttir,Sigfús Örvar Gizurarson et al.
Lilja Guðrún Jóhannsdóttir et al.
Objective: Atrial fibrillation (AF) is the most common sustained arrhythmia in clinical practice and is associated with an elevated risk of stroke, heart failure, dementia, and mortality. As its clinical consequences are strongly influenced...
Using cognitive behavioral therapy-based chatbots to alleviate symptoms of insomnia, depression, and anxiety: A randomized controlled trial [0.03%]
基于认知行为疗法的聊天机器人在缓解失眠、抑郁和焦虑症状中的作用：一项随机对照试验
Yi-Hang Chiu,Yen-Fen Lee,Huang-Li Lin et al.
Yi-Hang Chiu et al.
Background: Insomnia is common among psychiatric outpatients in Taiwan and often coexists with anxiety and depression. Early insomnia changes may predict long-term depression. Although CBT-I is effective, face-to-face therapy requires many ...
Randomized Controlled Trial
Health informatics journal. 2025 Oct-Dec;31(4):14604582251396428. DOI:10.1177/14604582251396428 2025
Methods to modernize a multimedia, web-based reproductive health education intervention for individuals with sickle cell disease or trait using virtual human narration and user-centered design [0.03%]
基于多媒体的网路教育干预措施可帮助镰状细胞疾病或特征患者学习生殖健康知识——采用虚拟人物叙述及用户中心设计的现代化方法
Alexandre Gomes de Siqueira,Gina M Gehling,Aravind Subramanian et al.
Alexandre Gomes de Siqueira et al.
Objectives: For a population that lacks genetic inheritance knowledge about sickle cell disease/trait, a previously innovative web-based intervention showed significant and sustained knowledge improvement, but current users judged it as "da...
Application of machine learning to predict periodontal disease in US adults: A cross-sectional analysis of NHANES 2009-2014 [0.03%]
机器学习在美国成年人群中预测牙周病的应用：基于NHANES 2009-2014的横断面分析
Giang T Vu,Veena Mayya,Babu Mandhidi et al.
Giang T Vu et al.
Background: Periodontal disease (PD) is a primary contributor to tooth loss, which negatively affects oral functionality and quality of life. This research aims to investigate the effectiveness of various machine learning (ML) classifiers i...
Performance and security analysis of fully homomorphic encryption in cloud-based healthcare blockchain [0.03%]
基于云计算的医疗保健区块链中全同态加密的性能与安全分析
Salah ElDin Zaher Olaymi
Salah ElDin Zaher Olaymi
Objective: This study evaluates the feasibility and performance of a cloud-based healthcare blockchain framework that integrates Fully Homomorphic Encryption (FHE), Extended Secure Searchable Encryption (ESSE), and Attribute-Based Signature...
Building a bridge for transition: A user-driven study on developing a transition clinic for adolescents with epilepsy [0.03%]
以患者为中心的青少年癫痫转诊门诊建立研究
Ole Abildgaard Hansen,Christoph P Beier,Anthony C Smith et al.
Ole Abildgaard Hansen et al.
This study describes the development and design of the Joint Transition Clinic, a collaborative solution designed to support adolescents with epilepsy (AWE) in their transition from pediatric to adult healthcare. Using a participatory desig...
Integrating clinical guidelines with large language models for improved sepsis mortality prediction [0.03%]
结合临床指南的大语义模型在预测脓毒症死亡率方面的应用
Zhen Zhao,Bo An,Tianpeng Zhang et al.
Zhen Zhao et al.
We develop and validate a clinical guideline-integrated LLM for enhanced sepsis mortality prediction. Using MIMIC-IV data from 24,237 ICU sepsis patients, we fine-tuned a large language model with Low-Rank Adaptation, embedding clinical gui...
A robust ensemble-based deep learning framework for automated retinal disease detection [0.03%]
一种鲁棒的基于深度学习的视网膜疾病检测框架
Goldy Verma,Rania M Ghoniem,Sheifali Gupta et al.
Goldy Verma et al.
ObjectiveTo develop a robust deep learning framework for automated multi-class retinal disease detection supporting clinical decision-making, addressing existing models' limitations in generalizability and accuracy.MethodsA novel ensemble m...
An assessment of patient readiness to engage in digital patient reported outcomes in an Australian inflammatory bowel disease cohort [0.03%]
评估澳大利亚炎症性肠病队列中患者参与数字患者报告结果的准备情况
Tsz Hong Yiu,Sarah Rouse,Caitlin Hausler et al.
Tsz Hong Yiu et al.
Objectives: Digital patient-reported outcome (PRO) tools, though beneficial for managing inflammatory bowel disease (IBD), remain underutilized in Australia. This study aimed to investigate a group of Australian patients' readiness to engag...