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Effective clinical communication is critical to providing high-quality patient care. Hospitals have used different types of interventions to improve communication between care teams, but there have been few studies of their effectiveness.

While genome-wide association studies (GWAS) of complex traits have revealed thousands of reproducible genetic associations to date, these loci collectively confer very little of the heritability of their respective diseases and, in general, have contributed little to our understanding the underlying disease biology. Physical protein interactions have been utilized to increase our understanding of human Mendelian disease loci but have yet to be fully exploited for complex traits.

To create annotated clinical narratives with layers of syntactic and semantic labels to facilitate advances in clinical natural language processing (NLP). To develop NLP algorithms and open source components.

Failure to notify patients of test results is common even when electronic health records (EHRs) are used to report results to practitioners. We sought to understand the broad range of social and technical factors that affect test result management in an integrated EHR-based health system.

The goal of this work was to evaluate machine learning methods, binary classification and sequence labeling, for medication-attribute linkage detection in two clinical corpora.

To characterize question types that residents received on overnight shifts and what information sources were used to answer them.

Private data analysis-the useful analysis of confidential data-requires a rigorous and practicable definition of privacy. Differential privacy, an emerging standard, is the subject of intensive investigation in several diverse research communities. We review the definition, explain its motivation, and discuss some of the challenges to bringing this concept to practice.

To determine how well statistical text mining (STM) models can identify falls within clinical text associated with an ambulatory encounter.