BookConnie W. Delaney, Charlotte A. Weaver, Judith J. Warren, Thomas R. Clancy, Roy L. Simpson, editors.
Summary: 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.
Contents:
Part I: The new and exciting world of "big data"
Why big data?: why nursing?
Big data in healthcare: a wide look at a broad subject
A big data primer
Part II: Technologies and science of big data
A closer look at enabling technologies and knowledge value
Big data in healthcare: new methods of analysis
Generating the data for analyzing the effects of interprofessional teams for improving triple aim outcomes
Wrestling with big data: how nurse leaders can engage
Inclusion of flowsheets from electronic health records to extend data for clinical and translational science awards (CTSA) research
Working in the new big data world: academic/corporate partnership model
Part III: Revolution of knowledge discovery, dissemination, translation through data science
Data science: transformation of research and scholarship
Answering research questions with national clinical research networks
Enhancing data access and utilization: federal big data initiative and relevance to health disparities research
Big data impact on transformation of healthcare systems
State of the science in big data analytics
Part IV: Looking at today and the near future
Big data analytics using the VA's 'Vinci' database to look at delirium
Leveraging the power of interprofessional EHR data to prevent delirium: the Kaiser Permanente story
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: four case studies
Part V: A call for readiness
What big data and data science mean for schools of nursing and academia
Quality outcomes and credentialing: implication for informatics and big data science
Big data science and doctoral education in nursing
Global society & big data: here's the future we can get ready for
Big-data enabled nursing: future possibilities
Glossary.