A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge [0.03%]
新冠疫情期间机构资源配置和监管看板的快速实施参考指南
Randeep S Jawa,Mathew A Tharakan,Chaowei Tsai et al.
Randeep S Jawa et al.
Objectives: We develop a dashboard that leverages electronic health record (EHR) data to monitor intensive care unit patient status and ventilator utilization in the setting of the COVID-19 pandemic. ...
Anthony Finch,Alexander Crowell,Mamta Bhatia et al.
Anthony Finch et al.
Objective: To construct and publicly release a set of medical concept embeddings for codes following the ICD-10 coding standard which explicitly incorporate hierarchical information from medical codes into the embedding f...
Utilizing a health information exchange to facilitate COVID-19 VA primary care follow-up for Veterans diagnosed in the community [0.03%]
利用健康信息交换促进退伍军人在社区确诊后COVID-19的退伍军人行政护理随访
Rachel L Sherman,Kimberly M Judon,Nicholas S Koufacos et al.
Rachel L Sherman et al.
The use of alerts from the Bronx RHIO, a health information exchange (HIE) to identify James J. Peters VAMC patients diagnosed with COVID-19 in the community was described to facilitate COVID-19 VA primary care follow-up. COVID-19 hospitali...
Improving visual communication of discriminative accuracy for predictive models: the probability threshold plot [0.03%]
改进预测模型区分能力的视觉传达：概率阈值图
Stephen S Johnston,Stephen Fortin,Iftekhar Kalsekar et al.
Stephen S Johnston et al.
Objectives: To propose a visual display-the probability threshold plot (PTP)-that transparently communicates a predictive models' measures of discriminative accuracy along the range of model-based predicted probabilities ...
Goals, life events, and transitions: examining fertility apps for holistic health tracking [0.03%]
目标、生活事件与转变：考察生育应用程序的全方位健康管理功能
Mayara Costa Figueiredo,Thu Huynh,Anna Takei et al.
Mayara Costa Figueiredo et al.
Objective: Fertility is becoming increasingly supported by consumer health technologies, especially mobile apps that support self-tracking activities. However, it is not clear whether the apps support the variety of goals...
Comparison and interpretability of machine learning models to predict severity of chest injury [0.03%]
用于预测胸部损伤严重程度的机器学习模型的比较与可解释性研究
Sujay Kulshrestha,Dmitriy Dligach,Cara Joyce et al.
Sujay Kulshrestha et al.
Objective: Trauma quality improvement programs and registries improve care and outcomes for injured patients. Designated trauma centers calculate injury scores using dedicated trauma registrars; however, many injuries arr...
An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results [0.03%]
电子健康记录(EHR)日志分析表明，临床医生对非主动发起的基因检测结果参与度较低
Jordan G Nestor,Alexander Fedotov,David Fasel et al.
Jordan G Nestor et al.
How clinicians utilize medically actionable genomic information, displayed in the electronic health record (EHR), in medical decision-making remains unknown. Participating sites of the Electronic Medical Records and Genomics (eMERGE) Networ...
Case Reports
JAMIA open. 2021 Mar 1;4(1):ooab014. DOI:10.1093/jamiaopen/ooab014 2021
Khaled El Emam,Lucy Mosquera,Elizabeth Jonker et al.
Khaled El Emam et al.
Background: Concerns about patient privacy have limited access to COVID-19 datasets. Data synthesis is one approach for making such data broadly available to the research community in a privacy protective manner. ...
Evaluation and recommendations for effective data visualization for seizure forecasting algorithms [0.03%]
癫痫发作预测算法的有效数据可视化评估与建议
Sharon Chiang,Robert Moss,Angela P Black et al.
Sharon Chiang et al.
Objective: Seizure forecasting algorithms have become increasingly accurate and may reduce the morbidity and mortality caused by seizure unpredictability. Translating these benefits into meaningful health outcomes for peo...
Research and Exploratory Analysis Driven-Time-data Visualization (read-tv) software [0.03%]
研究与探索性分析驱动的时间数据可视化（read-tv）软件
John Del Gaizo,Ken R Catchpole,Alexander V Alekseyenko
John Del Gaizo
Motivation: Research & Exploratory Analysis Driven Time-data Visualization (read-tv) is an open source R Shiny application for visualizing irregularly and regularly spaced longitudinal data. read-tv provides unique filter...