Optimizing patient portal user interface boosts activation rates for Spanish-speaking pediatric patients and caregivers [0.03%]
优化患者门户用户界面可提高说西班牙语的儿科患者和护理人员的激活率
Nymisha Chilukuri,Erin Ballard,Xuan Xu et al.
Nymisha Chilukuri et al.
Objective: Patient portals (PP) can enhance healthcare access for pediatric patients and families but disparities persist among patients with diverse preferred languages. Our objective was to optimize the PP user interfac...
Predictive performance precision analysis in medicine: identification of low-confidence predictions at patient and profile levels (MED3pa I) [0.03%]
医学中预测性能精度过分拟合分析：识别患者和特征谱水平上的低可信度预测（MED3PA I）
Olivier Lefebvre,Félix Camirand Lemyre,Jean-François Ethier et al.
Olivier Lefebvre et al.
Objectives: Artificial Intelligence models are increasingly used in health care, yet global performance metrics can mask variations in reliability across individual patients or subgroups with shared attributes, called pat...
Impact of announced wait time information on emergency department overcrowding mitigation: a simulation study [0.03%]
公布等候时间信息对缓急门诊超负荷的影响：一项仿真研究
Chengye Zou,Yiran Zhang,Huiyin Ouyang et al.
Chengye Zou et al.
Objective: Despite widespread implementation of predicted patient wait time information systems in hospital emergency departments (EDs), the relationship between quality of announced wait time information and ED overcrowd...
Is one run enough? Reproducibility of flagship large language models across temperature and reasoning settings in biomedical text processing [0.03%]
一次运行足够吗？生物医学文本处理中旗舰大型语言模型在温度和推理设置间的可重复性分析
Paul Windisch,Carole Koechli,Fabio Dennstädt et al.
Paul Windisch et al.
Background: To quantify run-to-run reproducibility of Gemini 3 Flash Preview and GPT-5.2 for trial-success classification across temperature and reasoning/thinking settings and determine whether single-run reporting suffi...
Nhung T H Nguyen,Dmytro S Lituiev,Zhimin Liu et al.
Nhung T H Nguyen et al.
Objective: Intelligent agent-driven research co-pilots, leveraging advances in generative AI, are transforming how scientists access biomedical knowledge. This paper presents Med.ai ASK, an agentic question-answering syst...
Chen Dun,Caitlin W Hicks,Harold P Lehmann
Chen Dun
Objective: Value-based care (VBC) represents a fundamental shift from volume-driven reimbursement to models focused on improving patient outcomes and reducing costs. Informatics plays an essential, but often underapprecia...
Accuracy of an XGBoost-based privacy preserving record linkage system compared with an electronic health record patient matching module in identifying patients shared between nearby academic health centers [0.03%]
基于XGBoost的隐私保护记录连接系统与电子健康记录患者匹配模块在识别附近学术医疗中心之间共享患者方面的准确性比较
Douglas S Bell,Tawny Saleh,Fernando Javier Sanz Vidorreta et al.
Douglas S Bell et al.
Objectives: Patients often receive health care from multiple organizations. Privacy Preserving Record Linkage (PPRL) is a technology for linking patient records without releasing personally identifiable information. We co...
Life events extraction from healthcare notes for veteran acute suicide risk prediction [0.03%]
基于医疗记录的生命事件提取以预测退伍军人急性自杀风险
Destinee Morrow,Rafael Zamora-Resendiz,Sayera Dhaubhadel et al.
Destinee Morrow et al.
Objective: Predictive models of suicide risk have focused on features extracted from structured data found in electronic health records, with limited consideration of predisposing life events (LE) expressed in unstructure...
Implementation of a clinical decision support tool for hypertension in a rural health system [0.03%]
在农村医疗卫生体系中实施高血压临床决策支持工具的应用研究
Elyse O Kharbanda,Stephen E Asche,Inih Essien et al.
Elyse O Kharbanda et al.
Objectives: Elevated blood pressure (BP) and hypertension are often overlooked in pediatric care. We adapted a pediatric hypertension clinical decision support (CDS) for a primarily rural health system and compared CDS im...
Systematic review of foundation models for structured electronic health records [0.03%]
结构化电子健康记录基础模型系统回顾
Lin Lawrence Guo,Santiago Eduardo Arciniegas,Adam Paul Yan et al.
Lin Lawrence Guo et al.
Purpose: Foundation models pretrained on structured electronic health record (EHR) data promise improved predictive performance, sample efficiency and resilience to distribution shifts. However, model design, scale and us...