Big Data-Enabled Nursing: Education, Research and Practice

✍ Scribed by Connie W. Delaney, Charlotte A. Weaver, Judith J. Warren, Thomas R. Clancy, Roy L. Simpson (eds.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 504
• Series: Health Informatics
• Edition: 1
• Category: Library

✦ Synopsis

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

Front Matter ....Pages i-xxxv
Front Matter ....Pages 1-1
Why Big Data?: Why Nursing? (Connie W. Delaney, Roy L. Simpson)....Pages 3-10
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
A Big Data Primer (Judith J. Warren)....Pages 33-59
Front Matter ....Pages 61-61
A Closer Look at Enabling Technologies and Knowledge Value (Thomas R. Clancy)....Pages 63-78
Big Data in Healthcare: New Methods of Analysis (Sarah N. Musy, Michael Simon)....Pages 79-101
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
Wrestling with Big Data: How Nurse Leaders Can Engage (Jane Englebright, Edmund Jackson)....Pages 115-137
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
Working in the New Big Data World: Academic/Corporate Partnership Model (William Crown, Thomas R. Clancy)....Pages 157-180
Front Matter ....Pages 181-181
Data Science: Transformation of Research and Scholarship (Lynda R. Hardy, Philip E. Bourne)....Pages 183-209
Answering Research Questions with National Clinical Research Networks (Katherine K. Kim, Satish M. Mahajan, Julie A. Miller, Joe V. Selby)....Pages 211-226
Enhancing Data Access and Utilization: Federal Big Data Initiative and Relevance to Health Disparities Research (Rosaly Correa-de-Araujo)....Pages 227-251
Big Data Impact on Transformation of Healthcare Systems (Gay L. Landstrom)....Pages 253-263
State of the Science in Big Data Analytics (C. F. Aliferis)....Pages 265-284
Front Matter ....Pages 285-286
Big Data Analytics Using the VA’s ‘VINCI’ Database to Look at Delirium (Charlene Weir, Joanne LaFluer, Bryan Gibson, Qing Zeng)....Pages 287-299
Leveraging the Power of Interprofessional EHR Data to Prevent Delirium: The Kaiser Permanente Story (Rayne Soriano, Marilyn Chow, Ann O’Brien)....Pages 301-312
Mobilizing the Nursing Workforce with Data and Analytics at the Point of Care (Judy Murphy, Amberly Barry)....Pages 313-329
The Power of Disparate Data Sources for Answering Thorny Questions in Healthcare: Four Case Studies (Ellen M. Harper, Douglas McNair)....Pages 331-369
Front Matter ....Pages 371-371
What Big Data and Data Science Mean for Schools of Nursing and Academia (Linda A. McCauley, Connie W. Delaney)....Pages 373-398
Quality Outcomes and Credentialing: Implication for Informatics and Big Data Science (Bobbie Berkowitz)....Pages 399-406
Big Data Science and Doctoral Education in Nursing (Patricia Eckardt, Susan J. Henly)....Pages 407-426
Global Society & Big Data: Here’s the Future We Can Get Ready For (Walter Sermeus)....Pages 427-440
Big-Data Enabled Nursing: Future Possibilities (Judith J. Warren, Thomas R. Clancy, Connie W. Delaney, Charlotte A. Weaver)....Pages 441-463
Back Matter ....Pages 465-488

✦ Subjects

Health Informatics