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Management of hyperglycemia in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. However, there are few national assessments of diabetes care during hospitalization which could serve as a baseline for change. This analysis of a large clinical database (74 million unique encounters corresponding to 17(More)
BACKGROUND The purpose of this study is to identify publication output, and research areas, as well as descriptively and quantitatively characterize the field of medical informatics through publication trend analysis over a twenty year period (1987-2006). METHODS A bibliometric analysis of medical informatics citations indexed in Medline was performed(More)
PURPOSE This article describes a formative natural language processing (NLP) system that is grounded in user-centered design, simplification, and transparency of function. METHODS The NLP system was tasked to classify diseases within patient discharge summaries and is evaluated against clinician judgment during the 2008 i2b2 Shared Task competition. Text(More)
BACKGROUND The growing availability of electronic health records (EHRs) in the US could provide researchers with a more detailed and clinically relevant alternative to using claims-based data. METHODS In this study we compared a very large EHR database (Health Facts©) to a well-established population estimate (Nationwide Inpatient Sample). Weighted(More)
Social network analytic approaches have been previously proposed to identifying key metrics of physician care coordination [1]. Optimizing care coordination among physicians is a primary national concern for which yields significant cuts in medical care costs. We present a variation of physician collaboration metrics namely: 'care density', with our(More)
Given the widespread adoption of electronic medical records and recent emergence of electronic family history tools, we examined genetic counselors’ perspectives on the emerging technology of the personal health record (PHR)-based family history tool that links to an electronic medical record (EMR). Two-hundred thirty-three genetic counselors responded to(More)
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