Téléchargez le livre : Big Data-Enabled Nursing

Big Data-Enabled Nursing

Education, Research and Practice de

Éditeur :

Springer


Collection :

Health Informatics

Paru le : 2017-11-02

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Description
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. 
Pages
488 pages
Collection
Health Informatics
Parution
2017-11-02
Marque
Springer
EAN papier
9783319532998
EAN PDF
9783319533001
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
7588 Ko
Prix
168,79 €
EAN EPUB
9783319533001
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
2785 Ko
Prix
168,79 €

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