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.
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 and Its Importance in Nursing.- Big Data Use and Its Importance
in Healthcare.- A Big Data Primer.- A Closer Look at the Enabling
Technologies and Knowledge Value.- Big Data in Healthcare.- Getting to Big
Data: National Center Data Repository for Interprofessional Education and
Collaborative Practice.- Wrestling with Big Data: How Nurse Leaders Can
Engage.- Clinical and Translational Science Awards (CTSA) Extended Clinical
Data Project.- Working in the New Big Data World Academic/Corporate
Partnership Model.- Transformation of Research and Scholarship.- Enhancing
Data Access and Utilization: Federal Datasets Relevant to Social Determinants
of Health & Health Disparities Research.- Transformation of Health Care
Systems.- State of the Science in Data Mining Methods.- Veterans
Administration Database (VINCI).- Kaiser-Permanentes Nursing-Focused
Analytics Initiative.- 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: Five Case Examples.- What Big Data
Means for Schools of Nursing and Academia.- Readiness for Big Data Science -
Scholarship and Research.- Global Society & Big Data: The Future We Can Get
Ready For.- Data Analytics and Visualization: The Future with Big Data.
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.
