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Big Data-Enabled Nursing : Education, Research and Practice.

Author: Connie White Delaney; Charlotte A Weaver; Judith Warren; Tom Clancy; Roy Simpson
Publisher: New York : Springer Nov. 2017.
Series: Health Informatics Ser.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic book
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Connie White Delaney; Charlotte A Weaver; Judith Warren; Tom Clancy; Roy Simpson
ISBN: 9783319532998 3319532995
OCLC Number: 1048124994
Description: 1 online resource (xxxv, 488 pages) : illustrations.
Series Title: Health Informatics Ser.

Abstract:

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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 America, large payer data has been amassed and structures/organisations 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 organisations blending their data, or enabling distributed computing.

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