Titlebook: Big Data-Enabled Nursing; Education, Research Connie W. Delaney,Charlotte A. Weaver,Roy L. Simps Book 2017 Springer International Publishi

Gustatory

Inclusion of Flowsheets from Electronic Health Records to Extend Data for Clinical and Translationaled by nursing and other healthcare professionals. Standardization of the data, however, is required for it to be useful for big data science. In this chapter, an example of one CDR funded by NIH’s CTSA demonstrates how flowsheet data can add data repositories for big data science. A specific example

degradation

Working in the New Big Data World: Academic/Corporate Partnership Modele used for secondary research purposes. Many research collaboratives develop by building on past associations with one or two constituencies—typically academic institutions and integrated healthcare delivery systems. An emerging model is the academic/corporate model whose research partners include l

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人類學家

Answering Research Questions with National Clinical Research Networkseed of improvement. Research—especially large clinical trials—is currently not only expensive, but also slow in both the setup and conduct of a study. Expanding the nation’s capacity to conduct clinical studies quickly and economically requires new infrastructure that takes advantage of data gathere

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State of the Science in Big Data Analyticsods and technologies. This chapter describes key methods that allow tackling hard discovery (analysis and modeling) questions with large datasets. Particular emphasis is placed on answering predictive and causal questions, coping with very large dimensionalities, and producing models that generalize

Cardioversion

Big Data Analytics Using the VA’s ‘VINCI’ Database to Look at Deliriumr shift attention and is associated with poor patient outcomes. Managing these patients is a central nursing concern because patients with AMSC involve significant nursing resources and increased monitoring. Big Data can be used to develop cognitive support interventions at all levels, ranging from

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Big Data in Healthcare: A Wide Look at a Broad Subjectnts are passing this data to their care providers for inclusion in care decision-making. Data is coming from external care providers in disparate systems and is passed from one provider to another as patients traverse a trajectory of care that may or may not be seamless. At each juncture, the data i

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