Integration of Clinical Decision Support and Electronic Clinical Quality Measurement: Domain Expert Insights and Implications for Future Direction [0.03%]
临床决策支持与电子临床质量测量的整合：领域专家视角及对未来发展方向的启示
Polina Kukhareva,Charlene R Weir,Catherine Staes et al.
Polina Kukhareva et al.
The integration of clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could help improve consistency, reduce redundancy, and ultimately help improve value. To guide efforts in this area, 15 leading experts in...
Goal-driven management of interacting clinical guidelines for multimorbidity patients [0.03%]
目标驱动的相互作用的临床指南的管理以应对多发病患者
Alexandra Kogan,Samson W Tu,Mor Peleg
Alexandra Kogan
Computer-interpretable guidelines (CIGs) are based on clinical practice guidelines, which typically address a single morbidity. However, most of the aging population suffers from multiple morbidities. Currently, there is no demonstrated eff...
A systematic comparison of contemporary automatic speech recognition engines for conversational clinical speech [0.03%]
当代自动语音识别引擎在会话临床语音中的系统性比较研究
Jodi Kodish-Wachs,Emin Agassi,Patrick Kenny rd et al.
Jodi Kodish-Wachs et al.
Conversations especially between a clinician and a patient are important sources of data to support clinical care. To date, clinicians act as the sensor to capture these data and record them in the medical record. Automatic speech recogniti...
Comparative Study
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2018 Dec 5:2018:683-689. DOI: 2018
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System [0.03%]
利用机器学习预测临床医师的信息寻求行为及其电子医疗系统的使用情况
Andrew J King,Gregory F Cooper,Harry Hochheiser et al.
Andrew J King et al.
Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A better EMR would provide concise, context sensitive patient data, but doing so entails the difficult task of knowing which data are relevant. T...
Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives [0.03%]
基于集合的改进电子健康记录叙述去识别的方法
Youngjun Kim,Paul Heider,Stéphane Meystre
Youngjun Kim
Text de-identification is an application of clinical natural language processing that offers significant efficiency and scalability advantages. Hence, various learning algorithms have been applied to this task to yield better performance. I...
Augmenting community-level social determinants of health data with individual-level survey data [0.03%]
利用个体调查数据增强社区层面的社会健康决定因素数据
Min-Hyung Kim,Yiye Zhang,Jessica S Ancker
Min-Hyung Kim
Social determinants of health (SDH) such as education and socioeconomic status are strongly associated with health and health outcomes. Incorporating SDH variables into clinical data sets could therefore improve the accuracy of predictive a...
Leveraging Horizontal Density Differences between Ontologies to Identify Missing Child Concepts: A Proof of Concept [0.03%]
利用不同本体的水平密度差异来识别缺失的子概念：一个概念验证
Vipina K Keloth,Zhe He,Yan Chen et al.
Vipina K Keloth et al.
Previously, we investigated pairs of ontologies with local similarities where corresponding "is-a" paths are of different lengths. This indicated the possibility of importing concepts from one ontology into the other. We referred to such st...
Resource and Response Type Classification for Consumer Health Question Answering [0.03%]
消费者健康问答中的资源和回应类型分类问题
William R Kearns,Jason A Thomas
William R Kearns
Health question answering systems often depend on the initial step of question type classification. Practitioners face several modeling choices for this component alone. We evaluate the effectiveness of different modeling choices in both th...
A Pragmatic Guide to Establishing Clinical Decision Support Governance and Addressing Decision Support Fatigue: a Case Study [0.03%]
临床决策支持治理的实用指南及决策支持疲劳案例研究
Kensaku Kawamanto,Michael C Flynn,Polina Kukhareva et al.
Kensaku Kawamanto et al.
There is limited guidance available in the literature for establishing clinical decision support (CDS) governance and improving CDS effectiveness in a pragmatic, resource-efficient manner. Here, we describe how University of Utah Health est...
A hybrid approach for automated mutation annotation of the extended human mutation landscape in scientific literature [0.03%]
一种自动化突变注释的混合方法，在科学文献中对扩展的人类突变景观进行分类
Antonio Jimeno Yepes,Andrew MacKinlay,Natalie Gunn et al.
Antonio Jimeno Yepes et al.
As the cost of DNA sequencing continues to fall, an increasing amount of information on human genetic variation is being produced that could help progress precision medicine. However, information about such mutations is typically first made...
Comparative Study
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2018 Dec 5:2018:616-623. DOI: 2018