Med bibl SkaS : Big data-enabled nursing : education, research and practice

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Big data-enabled nursing : education, research and practice

Titel och upphov	Big data-enabled nursing : education, research and practice
Utgivning, distribution etc.	Cham : Springer, 2017.
National Library of Medicine (NLM) klassifikationskod	WY 26.5
DDC klassifikationskod (Dewey Decimal Classification)	610.730285
Fysisk beskrivning	1 online resource (xxxv, 488 pages) : illustrations (some color).
Serietitel - ej biuppslagsform	Health informatics,
Anmärkning: Bibliografi etc.	Includes bibliographical references and index.
Anmärkning: Innehåll	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.
Anmärkning: Innehållsbeskrivning, sammanfattning	"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"--Publisher's description.
Term	Nursing informatics. Big data. HEALTH & FITNESS HEALTH & FITNESS MEDICAL MEDICAL MEDICAL MEDICAL MEDICAL MEDICAL Big data. Nursing informatics. Health & safety aspects of IT. Nursing. Medical equipment & techniques. Nursing informatics. Data Mining. Data Collection.
Genre/Form	Electronic books.
Personnamn	Delaney, Connie White, Weaver, Charlotte A., Warren, Judith Jordan, Clancy, Thomas R., Simpson, Roy L.,
Annat medium	Print version: Big data-enabled nursing. Cham : Springer, 2017 ISBN 3319532995 ISBN 9783319532998
Seriebiuppslag under titel	Health informatics, 1431-1917
Elektronisk adress och åtkomst (URI)	http://link.springer.com/10.1007/978-3-319-53300-1
ISBN	9783319533001 3319533002

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*504  $aIncludes bibliographical references and index.
*5050 $aPart 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.
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*5880 $aOnline resource; title from PDF title page (SpringerLink, viewed November 13, 2017).
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*7001 $aWeaver, Charlotte A.,$eeditor.
*7001 $aWarren, Judith Jordan,$d1939-$eeditor.
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