Shreya J Shah,Kirsten Naumann Murtagh,Danton Char et al.
Shreya J Shah et al.
Objective: This study assessed over 2000 patient perspectives on the use of ambient AI scribes in outpatient visits. Materials and methods: ...
A technical framework for using electronic medical records to create and maintain a cross-sectional research cohort of pregnant people in the Gulf South [0.03%]
用于在南部分裂地区怀孕人群中创建和维护横断面研究队列的电子健康记录的技术框架
Elizabeth Crull,Anna V Legrand,Daniele Farrisi et al.
Elizabeth Crull et al.
Objective: To develop a cohort identification algorithm that captures pregnancy episodes in electronic health record data and characterize demographic and clinical data for eligible patients. ...
Using clinical notes to identify children with speech-language delay and understand differences in diagnostic timing [0.03%]
利用临床记录识别语言发育迟缓儿童及了解诊断时间差异
Jiang Shu,Danai Kasambira Fannin,Geraldine Dawson et al.
Jiang Shu et al.
Objective: Speech-language delay (SLD) is a developmental condition often identified by pediatricians. While early intervention is recommended, it is common for pediatricians to take a "watch and wait" approach. We sought...
Optimizing clinical documentation in virtual hospitals: a task-technology fit perspective [0.03%]
从任务技术匹配视角优化虚拟医院临床文档化工程
Adeola Bamgboje-Ayodele,Adrian Boscolo,Melinda Dao et al.
Adeola Bamgboje-Ayodele et al.
Objective: Virtual hospitals differ from brick-and-mortar hospitals across many elements of the socio-technical work system, particularly their complete reliance on digital tools for communication and care coordination. I...
Assessing the quality of electronic health record data and the claims linked data for target trial emulation studies [0.03%]
评估电子健康记录数据和声明链接数据的质量，以模拟目标试验研究
Yao An Lee,Ying Lu,Earl J Morris et al.
Yao An Lee et al.
Objectives: To evaluate whether an electronic health record (EHR) cohort has sufficient data quality to support target trial emulation design elements, using Medicare claims as a reference for billing-derived domains and ...
Early prediction of unplanned critical care transfers in children using EHR-based ensemble machine learning [0.03%]
基于电子健康记录的集成机器学习在儿童非计划转入重症监护室的早期预测中的应用
Eamonn Tweedy,Sanjiv Mehta,Mark V Mai et al.
Eamonn Tweedy et al.
Background: Early recognition of unplanned ICU transfer is critical for improving outcomes, yet existing pediatric warning systems lack accuracy and timeliness. We developed machine learning models predicting unplanned IC...
Design and content of health facility routine data recording and reporting forms for maternal, newborn, and child health: a scoping review of literature [0.03%]
关于妇幼健康卫生机构常规数据记录和报告表格的设计与内容：文献综述性研究
Anna Peeler,Stephanie Hammerich-Hille,Moise Muzigaba et al.
Anna Peeler et al.
Background: High-quality routine health information systems (RHIS) are critical for improving maternal, newborn, and child health (MNCH), to facilitate clinical decision-making and track service delivery. Despite widespre...
Good things come in threes: evaluating clinical utility of machine learning-derived clusters [0.03%]
好事成三：评估机器学习衍生聚类的临床效用
Daniil Lisik,Jip W T M De Kok,Nicolás Bermúdez Barón et al.
Daniil Lisik et al.
Background: Machine learning (ML)-based cluster analysis is a common method for subtyping medical conditions and presentations of disease states. Recent advancements in algorithms and increasing access to vast healthcare ...
Bell Raj Eapen,Oladimeji M Adaramewa,Xiaoqing Li
Bell Raj Eapen
Objective: We present a method and open-source prototype to augment Clinical Quality Language (CQL) using a large language model (LLM) in the execution loop for querying unstructured text. ...
Verification of the value of optimization of the medication-related clinical decision support system in China, a hospital-based study [0.03%]
基于医院的药学临床决策支持系统优化价值验证研究
Shan Ran,Dongshi Gu,Jing Xie et al.
Shan Ran et al.
Objective: This study evaluated the optimization of a medication-related clinical decision support system (MRCDSS) in a 1000-bed general hospital in China by analyzing clinician responses. ...