Big data-enabled nursing : education, research and practice / edited by Connie W. Delaney, Charlotte A. Weaver, Judith J. Warren, Thomas R. Clancy, Roy L. Simpson.
Contributor(s): Clancy, Thomas R., editor literario | Delaney, Connie White,, editor literario | Simpson, Roy L.,, editor literario | Warren, Judith Jordan,, editor literario | Weaver, Charlotte A.,, editor literario
Material type: 
E-bookSeries: (Health informatics, 1431-1917).Publisher: Cham, Switzerland : Springer International Publishing, 2017Description: 1 recurso en línea (xxxv, 488 páginas) : ilustraciones (algunas a color).ISBN: 3319533002; 9783319533001.Subject: Datos masivosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | RT50.5 .C53 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20024283 |
Incluye referencias bibliográficas e índice
""Foreword 1""; ""Foreword 2""; ""Preface""; ""Acknowledgments""; ""Contents""; ""List of Contributors""; ""Part I: The New and Exciting World of â#x80;#x9C;Big Dataâ#x80;#x9D;""; ""Chapter 1: Why Big Data?: Why Nursing?""; ""1.1 Why Big Data?""; ""1.2 Why Big Data in Nursing?""; ""1.3 Summary""; ""References""; ""Chapter 2: Big Data in Healthcare: A Wide Look at a Broad Subject""; ""2.1 Reaching the Tipping Point: Big Data and Healthcare""; ""2.2 Big Data and Analytics Enabling Innovation in Population Health""; ""2.2.1 Blending in the Social Determinants""; ""2.3 Big Data in Action""
"" 3.1.4.1 Data Visualization Conferences"""" 3.1.4.2 Data Visualization Books and Articles""; "" 3.1.4.3 Data Visualization Videos""; "" 3.1.4.4 Data Visualization Web Sites""; "" 3.1.5 Organizations of Interest""; "" 3.1.5.1 Professional Associations""; "" 3.1.5.2 Listservs: A Sampling""; "" 3.1.5.3 Certificates and Training: A Sampling""; "" 3.1.5.4 Degree Programs: A Sampling""; "" 3.1.6 Assessment of Competencies""; "" 3.1.7 Learning Activities""; "" 3.1.8 Guidance for Learners and Faculty Using the Module""; ""References""; ""Part II: Technologies and Science of Big Data""
""2.3.1 The Department of Veterans Affairs""""2.3.1.1 Advanced Analytics in the VHA""; ""2.3.1.2 Consolidating Data Sources""; ""2.3.1.3 Data Governance, Access and Quality""; ""2.3.1.4 Advanced Analytics""; ""2.3.1.5 Expanding Data Sources""; ""2.3.1.6 User Impact""; ""2.3.1.7 The VHA Pushes to Use Big Data""; ""2.3.2 A View from Home Health""; ""2.3.2.1 Telemonitoring to Prevent Hospital Readmission from the Home""; ""2.3.2.2 Improving Outcomes of Home Healthcare Patients with Wounds""; ""2.3.2.3 Home Health Powered by Big Data""
""2.3.3 The Spine: A United Kingdom Big Data Endeavor""""2.3.3.1 Healthcare in England""; ""2.3.3.2 The NHS and Health Information Technology""; ""2.3.3.3 The NHS and Big Data""; ""2.4 Summary""; ""References""; ""Chapter 3: A Big Data Primer""; ""3.1 What Is Big Data?""; ""3.1.1 Datafication and Digitization""; ""3.1.2 Resources for Evaluating Big Data Technology""; ""3.2 The Vâ#x80;#x99;s: Volume, Variety, Velocity""; ""3.2.1 Volume""; ""3.2.2 Variety""; ""3.2.3 Velocity""; ""3.3 Data Science""; ""3.3.1 What Is Data Science?""; ""3.3.2 The Data Science Process""; ""3.4 Visualizing the Data""
""3.5 Big Data Is a Team Sport""""3.6 Conclusion""; "" Case Study 3.1: Big Data Resourcesâ#x80;#x94;A Learning Module""; "" 3.1.1 Introduction""; "" 3.1.2 Resources for Big Data""; "" 3.1.2.1 Big Data Conferences""; "" 3.1.2.2 Big Data Books and Articles""; "" 3.1.2.3 Big Data Videos""; "" 3.1.2.4 Big Data Web Sites""; "" 3.1.3 Resources for Data Science""; "" 3.1.3.1 Data Science Conferences""; "" 3.1.3.2 Data Science Books and Articles""; "" 3.1.3.3 Data Science Videos""; "" 3.1.3.4 Data Science Web Sites""; "" 3.1.4 Resources for Data Visualization""
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. .
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