Big Data-Enabled Nursing Education, Research and Practice

Image of the book cover for 'Big Data-Enabled Nursing'
Author: Connie Delaney, Charlotte Weaver, Judith Warren, Thomas Clancy, Roy Simpson
Publisher: Springer Nature
Publication Date: 2017
ISBN 10: 3319532995
ISBN 13: 9783319532998
eISBN: 9783319533001
Edition: 1st
Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system infrastructure is maturing, and being advanced by health information exchanges (HIEs) with multiple organizations blending their data, or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.
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