From use cases to infrastructure: a cross-institutional survey of priorities in data-driven biomedical research [0.03%]
从用例到基础设施：数据驱动的生物医学研究中各机构优先级的交叉调查
Raja Mazumder,Jonathon Keeney,Luke Johnson et al.
Raja Mazumder et al.
Objectives: Federated Ecosystems for Analytics and Standardized Technologies (FEAST) is a modular, cloud-based platform developed through the ARPA-H Biomedical Data Fabric initiative to enable secure, federated analysis o...
Contextualizing key principles to promote a justice-oriented informatics research agenda: proceedings and reflections from an American Medical Informatics Association workshop [0.03%]
从美国医学信息学会研讨会 proceedings 和反思中具体化关键原则以促进面向正义的 informatics 研究议程：报告书
Aparajita Kashyap,Christopher J Allsman,Elizabeth A Campbell et al.
Aparajita Kashyap et al.
Objectives: Advancing health through informatics requires attending to justice. Recent policy changes in the United States have introduced significant barriers to promoting justice within informatics due to targeted fundi...
Positive act of reporting negative results in large language model research: a call for transparency [0.03%]
大型语言模型研究中报道负面结果的积极行为——呼吁透明度
Satvik Tripathi,Dana Alkhulaifat,Tessa S Cook
Satvik Tripathi
Purpose: To highlight the importance of reporting negative results in large language model (LLM) research, particularly as these systems are increasingly integrated into healthcare. ...
Information extraction from clinical notes: are we ready to switch to large language models? [0.03%]
临床笔记的信息提取：我们准备好切换到大型语言模型了吗？
Yan Hu,Xu Zuo,Yujia Zhou et al.
Yan Hu et al.
Objectives: To assess the performance, generalizability, and computational efficiency of instruction-tuned Large Language Model Meta AI (LLaMA)-2 and LLaMA-3 models compared to bidirectional encoder representations from t...
Measuring the accuracy of electronic health record-based phenotyping in the All of Us Research Program to optimize statistical power for genetic association testing [0.03%]
通过精准医学研究计划测量基于电子健康记录表型的准确性以优化遗传关联检测的统计功效
John Baierl,Yi-Wen Hsiao,Michelle R Jones et al.
John Baierl et al.
Objective: Accurate phenotyping is an essential task for researchers utilizing electronic health record (EHR)-linked biobank programs like the All of Us Research Program to study human genetics. However, little guidance i...
Digital interdependence: impact of work spillover during clinical team handoffs [0.03%]
数字化相互依赖：临床团队交接班时工作溢出的影响
Dori A Cross,Josh Weiner,Hannah T Neprash et al.
Dori A Cross et al.
Objective: To characterize the nature and consequence(s) of interdependent physician electronic health record (EHR) work across inpatient shifts. Material...
Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance [0.03%]
审计模型可以抑制较差的人工智能预测，从而改善人与人工智能的合作性能
Katherine E Brown,Jesse O Wrenn,Nicholas J Jackson et al.
Katherine E Brown et al.
Objective: Healthcare decisions are increasingly made with the assistance of machine learning (ML). ML has been known to have unfairness-inconsistent outcomes across subpopulations. Clinicians interacting with these syste...
Testing and evaluation of generative large language models in electronic health record applications: a systematic review [0.03%]
电子健康记录应用程序中生成式大型语言模型的测试与评估：系统综述
Xinsong Du,Zhengyang Zhou,Yifei Wang et al.
Xinsong Du et al.
Background: The use of generative large language models (LLMs) with electronic health record (EHR) data is rapidly expanding to support clinical and research tasks. This systematic review characterizes the clinical fields...
Digital health literacy as mediator between language preference and telehealth use among Latinos in the United States [0.03%]
语言偏好与美国拉丁裔人群远程医疗服务利用之间的数字健康素养中介效应研究
Miguel Linares,Jorge A Rodriguez,Lauren E Wisk et al.
Miguel Linares et al.
Using 2023-2024 U.S. National Health Interview Survey data, we found that digital health literacy (dHL) mediated nearly half of the difference in telehealth use between Latino adults with non-English and English language preference. These f...