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Big Data-Enabled Nursing

Education, Research and Practice

  • Connie W. Delaney
  • Charlotte A. Weaver
  • Judith J. Warren
  • Thomas R. Clancy
  • Roy L. Simpson

Part of the Health Informatics book series (HI)

Table of contents

  1. Front Matter
    Pages i-xxxv
  2. The New and Exciting World of “Big Data”

    1. Front Matter
      Pages 1-1
    2. Connie W. Delaney, Roy L. Simpson
      Pages 3-10
    3. Marisa L. Wilson, Charlotte A. Weaver, Paula M. Procter, Murielle S. Beene
      Pages 11-31
    4. Judith J. Warren
      Pages 33-59
  3. Technologies and Science of Big Data

    1. Front Matter
      Pages 61-61
    2. Sarah N. Musy, Michael Simon
      Pages 79-101
    3. May Nawal Lutfiyya, Teresa Schicker, Amy Jarabek, Judith Pechacek, Barbara Brandt, Frank Cerra
      Pages 103-114
    4. Jane Englebright, Edmund Jackson
      Pages 115-137
    5. Bonnie L. Westra, Beverly Christie, Grace Gao, Steven G. Johnson, Lisiane Pruinelli, Anne LaFlamme et al.
      Pages 139-155
    6. William Crown, Thomas R. Clancy
      Pages 157-180
  4. Revolution of Knowledge Discovery, Dissemination, Translation Through Data Science

    1. Front Matter
      Pages 181-181
    2. Lynda R. Hardy, Philip E. Bourne
      Pages 183-209
    3. Katherine K. Kim, Satish M. Mahajan, Julie A. Miller, Joe V. Selby
      Pages 211-226
    4. C. F. Aliferis
      Pages 265-284
  5. Looking at Today and the Near Future

    1. Front Matter
      Pages 285-286
    2. Charlene Weir, Joanne LaFluer, Bryan Gibson, Qing Zeng
      Pages 287-299
  6. A Call for Readiness

    1. Front Matter
      Pages 371-371
    2. Linda A. McCauley, Connie W. Delaney
      Pages 373-398
    3. Patricia Eckardt, Susan J. Henly
      Pages 407-426
    4. Judith J. Warren, Thomas R. Clancy, Connie W. Delaney, Charlotte A. Weaver
      Pages 441-463
  7. Back Matter
    Pages 465-488

About this book

Introduction

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 on how 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. 

Keywords

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

Editors and affiliations

  • Connie W. Delaney
    • 1
  • Charlotte A. Weaver
    • 2
  • Judith J. Warren
    • 3
  • Thomas R. Clancy
    • 4
  • Roy L. Simpson
    • 5
  1. 1.School of NursingUniversity of Minnesota School of NursingMinneapolisUSA
  2. 2.IssaquahUSA
  3. 3.School of NursingUniversity of Kansas School of NursingPlattsmouthUSA
  4. 4.School of NursingUniversity of MinnesotaMinneapolisUSA
  5. 5.Nell Hodgson Woodruff School of Nursing, Emory UniversityAtlantaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-53300-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Medicine
  • Print ISBN 978-3-319-53299-8
  • Online ISBN 978-3-319-53300-1
  • Series Print ISSN 1431-1917
  • Series Online ISSN 2197-3741
  • Buy this book on publisher's site