Big data-enabled nursing : education, research and practice
Author(s)
Bibliographic Information
Big data-enabled nursing : education, research and practice
(Health informatics)
Springer, c2017
- : softcover
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographies and index
Description and Table of Contents
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.
Table of Contents
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.
by "Nielsen BookData"