TY - BOOK ID - 31260958 TI - Big Data-Enabled Nursing : Education, Research and Practice AU - Delaney, Connie W. AU - Weaver, Charlotte A. AU - Warren, Judith J. AU - Clancy, Thomas R. AU - Simpson, Roy L. PY - 2017 SN - 3319533002 3319532995 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Medicine. KW - Health informatics. KW - Nursing. KW - Medicine & Public Health. KW - Health Informatics. KW - Nursing informatics KW - Nursing KW - Data processing. KW - Medical informatics KW - Data processing KW - Medical records KW - Clinical nursing KW - Nurses and nursing KW - Nursing process KW - Care of the sick KW - Medicine KW - EHR systems KW - EHR technology KW - EHRs (Electronic health records) KW - Electronic health records KW - Electronic medical records KW - EMR systems KW - EMRs (Electronic medical records) KW - Information storage and retrieval systems KW - Medical care KW - Nursing informatics. KW - Big data. KW - Nursing Informatics. KW - Data Mining. KW - Data Collection. KW - Data Collection Methods KW - Dual Data Collection KW - Collection Method, Data KW - Collection Methods, Data KW - Collection, Data KW - Collection, Dual Data KW - Data Collection Method KW - Method, Data Collection KW - Methods, Data Collection KW - Medical History Taking KW - Empirical Research KW - Text Mining KW - Mining, Data KW - Mining, Text KW - Data Science KW - Big Data KW - Informatics, Nursing KW - Data sets, Large KW - Large data sets KW - Data sets KW - Clinical informatics KW - Health informatics KW - Medical information science KW - Information science UR - https://www.unicat.be/uniCat?func=search&query=sysid:31260958 AB - 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. . ER -