Indra Neil Sarkar
Indra Neil Sarkar
Predictors of viewing progress notes among users of VA's electronic health portal who receive mental health care [0.03%]
退伍军人事务部电子健康门户精神卫生保健用户的查看进展记录的预测因素
Steven K Dobscha,Lauren M Denneson,Maura K Pisciotta et al.
Steven K Dobscha et al.
Objective: Consistent with the OpenNotes movement, the Veterans Health Administration (VHA) offers patients online access to their clinical notes through the Blue Button feature in its electronic patient health portal, My...
Understanding the research landscape of major depressive disorder via literature mining: an entity-level analysis of PubMed data from 1948 to 2017 [0.03%]
通过文献挖掘理解抑郁症的研究现状：对1948年至2017年PubMed数据的实体分析
Yongjun Zhu,Min-Hyung Kim,Samprit Banerjee et al.
Yongjun Zhu et al.
Objective: To analyze literature-based data from PubMed to identify diseases and medications that have frequently been studied with major depressive disorder (MDD). ...
An investigation of sepsis surveillance and emergency treatment on patient mortality outcomes: An observational cohort study [0.03%]
一项关于败血症监测和急救治疗对患者死亡率影响的观察性队列研究
Robert C Amland,Bharat B Sutariya
Robert C Amland
Objective: To determine the prevalence of initiating the sepsis 3-h bundle of care and estimate effects of bundle completion on risk-adjusted mortality among emergency department (ED) patients screened-in by electronic su...
Predictive modeling in urgent care: a comparative study of machine learning approaches [0.03%]
基于机器学习的预测模型在急诊科就诊中的应用及对比研究
Fengyi Tang,Cao Xiao,Fei Wang et al.
Fengyi Tang et al.
Objective: The growing availability of rich clinical data such as patients' electronic health records provide great opportunities to address a broad range of real-world questions in medicine. At the same time, artificial ...
Patient similarity by joint matrix trifactorization to identify subgroups in acute myeloid leukemia [0.03%]
通过联合矩阵三分解寻找急性髓系白血病亚组中的患者相似性
F Vitali,S Marini,D Pala et al.
F Vitali et al.
Objective: Computing patients' similarity is of great interest in precision oncology since it supports clustering and subgroup identification, eventually leading to tailored therapies. The availability of large amounts of...
Adult experts' perceptions of telemental health for youth: A Delphi study [0.03%]
成人专家对青年远程心理健康的看法：德尔菲研究
Abigail Howard,Mindy Flanagan,Michelle Drouin et al.
Abigail Howard et al.
Objectives: Our objectives were to measure experts' opinions and develop consensus via the Delphi process on the barriers, applications, and concerns associated with telemental health (TMH) for youth. ...
The electronic health record as a patient engagement tool: mirroring clinicians' screen to create a shared mental model [0.03%]
电子健康记录作为一种患者参与工具：镜像临床医生的屏幕以创建共同的心理模型
Onur Asan,Jeanne Tyszka,Bradley Crotty
Onur Asan
Objective: Electronic health records (EHRs) in physician offices can both enhance and detract from the patient experience. Best practices have emerged focusing on screen sharing. We sought to determine if adding a second ...
tableone: An open source Python package for producing summary statistics for research papers [0.03%]
TableOne：用于研究论文生成汇总统计的开源Python包
Tom J Pollard,Alistair E W Johnson,Jesse D Raffa et al.
Tom J Pollard et al.
Objectives: In quantitative research, understanding basic parameters of the study population is key for interpretation of the results. As a result, it is typical for the first table ("Table 1") of a research paper to incl...
Implementation, evaluation, and recommendations for extension of AHRQ Common Formats to capture patient- and carepartner-generated safety data [0.03%]
AHRQ常见格式的实现、评估和扩展建议以捕获患者和护理伙伴生成的安全数据
Sarah Collins,Brittany Couture,Patricia Dykes et al.
Sarah Collins et al.
Objectives: The Common Formats, published by the Agency for Healthcare Research and Quality, represent a standard for safety event reporting used by Patient Safety Organizations (PSOs). We evaluated its ability to capture...