Comparative analysis of large language models in clinical diagnosis: performance evaluation across common and complex medical cases [0.03%]
大型语言模型在临床诊断中的比较分析：常见病和复杂病例的表现评估
Mehmed T Dinc,Ali E Bardak,Furkan Bahar et al.
Mehmed T Dinc et al.
Objectives: This study aimed to systematically evaluate and compare the diagnostic performance of leading large language models (LLMs) in common and complex clinical scenarios, assessing their potential for enhancing clin...
Real-time automated billing for tobacco treatment: developing and validating a scalable machine learning approach [0.03%]
烟草治疗的实时自动计费：开发和验证一种可扩展的机器学习方法
Derek J Baughman,Layth Qassem,Lina Sulieman et al.
Derek J Baughman et al.
Objectives: To develop CigStopper, a real-time, automated medical billing prototype designed to identify eligible tobacco cessation care codes, thereby reducing administrative workload while improving billing accuracy. ...
Case Report: A health system's experience using clinical decision support to promote note sharing after the 21st Century Cures Act [0.03%]
案例报告：21世纪治愈法案后促进临床决策支持以推动病例分享的健康系统经验
Mark Iscoe,Arjun K Venkatesh,Emily M Powers et al.
Mark Iscoe et al.
Objective: We used clinical decision support (CDS) to promote compliance with the 21st Century Cures Act's mandate that, with few exceptions, patients be granted timely access to their clinical notes. ...
Case Reports
JAMIA open. 2025 Jun 12;8(3):ooaf051. DOI:10.1093/jamiaopen/ooaf051 2025
Meaningfully meeting the interoperability mandate: a review of the Assistant Secretary for Technology Policy Real World Testing practices [0.03%]
符合互操作性规定的意义：技术政策助理部长的现实世界测试实践综述
Jessica L Handley,Alicia Farlese,Sophia Lager et al.
Jessica L Handley et al.
Objectives: We analyzed interoperability-related Real World Testing results to identify whether developers are providing meaningful results with the appropriate context to enable stakeholders to understand the Certified H...
A community-engaged approach to developing common data elements: a case study from the RADx-UP Long COVID common data elements Task Force [0.03%]
社区参与的通用数据元素开发方法：RADx-UP长期新冠肺炎通用数据元素工作组案例研究
Helena L Pike Welch,Gregory Guest,Halima Garba et al.
Helena L Pike Welch et al.
Objectives: In response to requests from several Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) community-engaged research projects to include Long COVID common data elements (CDEs) in the existing RA...
Case Reports
JAMIA open. 2025 Jun 4;8(3):ooaf046. DOI:10.1093/jamiaopen/ooaf046 2025
Multimorbidity patterns and early signals of diabetes in online communities [0.03%]
线上社区中的多发病模式及糖尿病早期迹象
Ching Jin,Zhen Zhu
Ching Jin
Objectives: This study aims to explore multimorbidity patterns associated with diabetes by analyzing user engagement in online diabetes support communities and their interactions with other disease-related communities. Ad...
Evaluating clinicians' attitudes toward a web-based tool to support culturally and medically tailored nutrition services at the point of care [0.03%]
评估临床医生对基于网络的支持文化性及医学上量身定制的营养服务的态度的研究
Minakshi Raj,Haeley Peters,Margarita Teran-Garcia et al.
Minakshi Raj et al.
Objectives: Despite growing recognition of the critical role of nutrition in promoting population health, clinicians lack access to point-of-care resources to support culturally relevant nutrition services. This study aim...
Does autotext usage decrease documentation time among resident physicians? A retrospective analysis of electronic health record usage data [0.03%]
电子健康档案使用数据的回顾性分析：自动文本使用是否减少住院医师的文档编制时间？
Noah Stanco,Shmuel Tiosano,Randeep Badwal et al.
Noah Stanco et al.
Objective: Usage of autotext or "dotphrases" is ubiquitous among provider workflows in electronic health records (EHRs). Yet, little is known about the impact of these tools in inpatient settings and among resident physic...
Determining the ground truth for the prediction of delirium in adult patients in acute care: a scoping review [0.03%]
确定急性护理成人患者谵妄预测的金标准：系统综述
Lili M Schöler,Lisa Graf,Antti Airola et al.
Lili M Schöler et al.
Objective: Delirium is a severe condition, often underreported and linked to adverse outcomes such as increased mortality and prolonged hospitalization. Despite its significance, delirium prediction is often hindered by u...
Automated multi-instance REDCap data synchronization for NIH clinical trial networks [0.03%]
NIH临床试验网络的Redcap自动多实例数据同步功能
Meredith C B Adams,Cody Hudson,Wanchi Chen et al.
Meredith C B Adams et al.
Objectives: The main goal is to develop an automated process for connecting Research Electronic Data Capture (REDCap) instances in a clinical trial network to allow for deidentified transfer of research surveys to cloud c...