Big Data-Enabled Nursing

Education, Research and Practice

Connie W. Delaney, Charlotte A. Weaver, Judith J. Warren, Thomas R. Clancy, Roy L. Simpson (Herausgeber)

Buch | Hardcover

XXXV, 488 Seiten

2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-53299-8 (ISBN)

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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 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.

Five editors are national and international experts in nursing & health informatics, representing all sectors including health systems, corporate and vendors, academia, policy, and professional associations. All invited authors are recognized experts.

Big Data and Its Importance in Nursing.- Big Data Use and Its Importance in Healthcare.- A Big Data Primer.- A Closer Look at the Enabling Technologies and Knowledge Value.- Big Data in Healthcare.- Getting to Big Data: National Center Data Repository for Interprofessional Education and Collaborative Practice.- Wrestling with Big Data: How Nurse Leaders Can Engage.- Clinical and Translational Science Awards (CTSA) Extended Clinical Data Project.- Working in the New Big Data World - Academic/Corporate Partnership Model.- Transformation of Research and Scholarship.- Enhancing Data Access and Utilization: Federal Datasets Relevant to Social Determinants of Health & Health Disparities Research.- Transformation of Health Care Systems.- State of the Science in Data Mining Methods.- Veteran's Administration Database (VINCI).- Kaiser-Permanente's Nursing-Focused Analytics Initiative.- Mobilizing the Nursing Workforce with Data and Analytics at the Point of Care.- The Power of Disparate Data Sources for Answering Thorny Questions in Healthcare: Five Case Examples.- What Big Data Means for Schools of Nursing and Academia.- Readiness for Big Data Science - Scholarship and Research.- Global Society & Big Data: The Future We Can Get Ready For.- Data Analytics and Visualization: The Future with Big Data.

Erscheinungsdatum	23.11.2017
Reihe/Serie	Health Informatics
Zusatzinfo	XXXV, 488 p. 61 illus., 48 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik
	Medizin / Pharmazie ► Pflege
	Technik ► Medizintechnik
Schlagworte	Big Data • EHR • Electronic Health Record • health and safety aspects of IT • Healthcare Analytics • Health Informatics • Health system infrastructure • Information technology: general issues • Medical Databases • Medical equipment and techniques • Medicine • Medicine: general issues • nursing • Nursing & Health Informatics • Nursing & Health Informatics
ISBN-10	3-319-53299-5 / 3319532995
ISBN-13	978-3-319-53299-8 / 9783319532998
Zustand	Neuware