Big Data-Enabled Nursing

Beschreibung

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. 
Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing has consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. 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.
Big Data-Enabled Nursing reflects onhow health systems have developed and how electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. It provides instruction on the new opportunities for nursing and educates readers on the new skills in research methodologies that are being further enabled by new partnerships spanning all sectors. 

Dedicated to teaching the application of big data within nursing

Makes extensive use of illustrations to expand on key thematic points

Contextualizes strategies for effective modern nursing practice

Provides a strategic study of the use of big data across healthcare

Autor*in

Connie W. Delaney

Themen in »Big Data-Enabled Nursing«

Big Data Healthcare Analytics Medical databases Electronic Health Record EHR Health system infrastructure Nursing & Health Informatics

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