Health Informatics

Big Data-Enabled Nursing

Education, Research and Practice

Editors: delaney, c.w., Weaver, C.A., Warren, J.J., Clancy, Th.R., Simpson, R.L. (Eds.)

  • 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
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Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-3-319-53300-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-3-319-53299-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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. 

About the authors

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.

Table of contents (23 chapters)

  • Why Big Data?: Why Nursing?

    Delaney, Connie W., PhD, RN, FAAN, FACMI (et al.)

    Pages 3-10

  • Big Data in Healthcare: A Wide Look at a Broad Subject

    Wilson, Marisa L., DNSc, MHSc, RN-BC, CPHIMS, FAAN (et al.)

    Pages 11-31

  • A Big Data Primer

    Warren, Judith J., Ph.D., R.N.,F.A.A.N.,F.A.C.M.I.

    Pages 33-59

  • A Closer Look at Enabling Technologies and Knowledge Value

    Clancy, Thomas R., Ph.D., M.B.A., R.N., F.A.A.N.

    Pages 63-78

  • Big Data in Healthcare: New Methods of Analysis

    Musy, Sarah N., PhD (et al.)

    Pages 79-101

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-3-319-53300-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-3-319-53299-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Big Data-Enabled Nursing
Book Subtitle
Education, Research and Practice
Editors
  • connie white delaney
  • Charlotte A. Weaver
  • Judith J. Warren
  • Thomas R. Clancy
  • Roy L. Simpson
Series Title
Health Informatics
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-53300-1
DOI
10.1007/978-3-319-53300-1
Hardcover ISBN
978-3-319-53299-8
Series ISSN
1431-1917
Edition Number
1
Number of Pages
XXXV, 488
Number of Illustrations and Tables
13 b/w illustrations, 48 illustrations in colour
Topics