Big Data-Enabled Nursing

1. Front Matter

   Pages i-xxxv

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2. The New and Exciting World of “Big Data”

   1. Front Matter

      Pages 1-1

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   2. Why Big Data?: Why Nursing?

      • Connie W. Delaney, Roy L. Simpson

      Pages 3-10

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

      • Marisa L. Wilson, Charlotte A. Weaver, Paula M. Procter, Murielle S. Beene

      Pages 11-31

   4. A Big Data Primer

      • Judith J. Warren

      Pages 33-59

3. Technologies and Science of Big Data

   1. Front Matter

      Pages 61-61

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   2. A Closer Look at Enabling Technologies and Knowledge Value

      • Thomas R. Clancy

      Pages 63-78

   3. Big Data in Healthcare: New Methods of Analysis

      • Sarah N. Musy, Michael Simon

      Pages 79-101

   4. Generating the Data for Analyzing the Effects of Interprofessional Teams for Improving Triple Aim Outcomes

      • May Nawal Lutfiyya, Teresa Schicker, Amy Jarabek, Judith Pechacek, Barbara Brandt, Frank Cerra

      Pages 103-114

   5. Wrestling with Big Data: How Nurse Leaders Can Engage

      • Jane Englebright, Edmund Jackson

      Pages 115-137

   6. Inclusion of Flowsheets from Electronic Health Records to Extend Data for Clinical and Translational Science Awards (CTSA) Research

      • Bonnie L. Westra, Beverly Christie, Grace Gao, Steven G. Johnson, Lisiane Pruinelli, Anne LaFlamme et al.

      Pages 139-155

   7. Working in the New Big Data World: Academic/Corporate Partnership Model

      • William Crown, Thomas R. Clancy

      Pages 157-180

4. Revolution of Knowledge Discovery, Dissemination, Translation Through Data Science

   1. Front Matter

      Pages 181-181

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   2. Data Science: Transformation of Research and Scholarship

      • Lynda R. Hardy, Philip E. Bourne

      Pages 183-209

   3. Answering Research Questions with National Clinical Research Networks

      • Katherine K. Kim, Satish M. Mahajan, Julie A. Miller, Joe V. Selby

      Pages 211-226

   4. Enhancing Data Access and Utilization: Federal Big Data Initiative and Relevance to Health Disparities Research

      • Rosaly Correa-de-Araujo

      Pages 227-251

   5. Big Data Impact on Transformation of Healthcare Systems

      • Gay L. Landstrom

      Pages 253-263

   6. State of the Science in Big Data Analytics

      • C. F. Aliferis

      Pages 265-284

5. Looking at Today and the Near Future

   1. Front Matter

      Pages 285-286

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   2. Big Data Analytics Using the VA’s ‘VINCI’ Database to Look at Delirium

      • Charlene Weir, Joanne LaFluer, Bryan Gibson, Qing Zeng

      Pages 287-299

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. 

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

• School of Nursing, University of Minnesota School of Nursing, Minneapolis, USA

  Connie W. Delaney

• Issaquah, USA

  Charlotte A. Weaver

• School of Nursing, University of Kansas School of Nursing, Plattsmouth, USA

  Judith J. Warren

• School of Nursing, University of Minnesota, Minneapolis, USA

  Thomas R. Clancy

• Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, USA

  Roy L. Simpson

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.