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020 _a3319533002
_q(electronic bk.)
020 _a9783319533001
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020 _z3319532995
020 _z9783319532998
_q(print)
040 _aGW5XE
_beng
_erda
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050 4 _aRT50.5
_b2017 EB
245 0 0 _aBig data-enabled nursing :
_beducation, research and practice
_cedited by Connie W. Delaney, Charlotte A. Weaver, Judith J. Warren, Thomas R. Clancy, Roy L. Simpson.
264 1 _aCham, Switzerland
_bSpringer International Publishing
_c2017
300 _a1 recurso en línea (xxxv, 488 páginas)
_bilustraciones (algunas a color)
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
490 0 _aHealth informatics
_x1431-1917
500 _a
504 _aIncluye referencias bibliográficas e índice
505 0 _a""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""
505 8 _a"" 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""
505 8 _a""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""
505 8 _a""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""
505 8 _a""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""
520 3 _aThis 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. .
588 0 _aOnline resource; title from PDF title page (SpringerLink, viewed November 13, 2017).
650 7 _aDatos masivos
_9495511
700 1 _aClancy, Thomas R.
_eeditor literario
700 1 _aDelaney, Connie White,
_eeditor literario
700 1 _aSimpson, Roy L.,
_eeditor literario
700 1 _aWarren, Judith Jordan,
_d1939-
_eeditor literario
700 1 _aWeaver, Charlotte A.,
_eeditor literario
_997093
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-53300-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cRE
998 _b02/2018
_dz
_e-
_zSI