000805662 000__ 03267cam\a2200517Ii\4500 000805662 001__ 805662 000805662 005__ 20230306143800.0 000805662 006__ m\\\\\o\\d\\\\\\\\ 000805662 007__ cr\un\nnnunnun 000805662 008__ 171113s2017\\\\sz\a\\\\ob\\\\001\0\eng\d 000805662 019__ $$a1012639460$$a1014152157 000805662 020__ $$a9783319533001$$q(electronic book) 000805662 020__ $$a3319533002$$q(electronic book) 000805662 020__ $$z9783319532998 000805662 020__ $$z3319532995 000805662 0247_ $$a10.1007/978-3-319-53300-1$$2doi 000805662 035__ $$aSP(OCoLC)on1011347545 000805662 035__ $$aSP(OCoLC)1011347545$$z(OCoLC)1012639460$$z(OCoLC)1014152157 000805662 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dN$T$$dYDX$$dEBLCP$$dOCLCF$$dLQU 000805662 049__ $$aISEA 000805662 050_4 $$aRT50.5 000805662 08204 $$a610.730285$$223 000805662 24500 $$aBig data-enabled nursing :$$beducation, research and practice /$$cedited by Connie W. Delaney, Charlotte A. Weaver, Judith J. Warren, Thomas R. Clancy, Roy L. Simpson. 000805662 264_1 $$aCham :$$bSpringer,$$c2017. 000805662 300__ $$a1 online resource (xxxv, 488 pages) :$$billustrations. 000805662 336__ $$atext$$btxt$$2rdacontent 000805662 337__ $$acomputer$$bc$$2rdamedia 000805662 338__ $$aonline resource$$bcr$$2rdacarrier 000805662 4901_ $$aHealth informatics,$$x1431-1917 000805662 504__ $$aIncludes bibliographical references and index. 000805662 506__ $$aAccess limited to authorized users. 000805662 520__ $$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. . 000805662 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 13, 2017). 000805662 650_0 $$aNursing informatics. 000805662 650_0 $$aBig data. 000805662 7001_ $$aDelaney, Connie White,$$eeditor. 000805662 7001_ $$aWeaver, Charlotte A.,$$eeditor. 000805662 7001_ $$aWarren, Judith Jordan,$$d1939-$$eeditor. 000805662 7001_ $$aClancy, Thomas R.$$eeditor. 000805662 7001_ $$aSimpson, Roy L.,$$eeditor. 000805662 77608 $$z3319532995$$z9783319532998$$w(OCoLC)967868006 000805662 830_0 $$aHealth informatics,$$x1431-1917 000805662 852__ $$bebk 000805662 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-53300-1$$zOnline Access$$91397441.1 000805662 909CO $$ooai:library.usi.edu:805662$$pGLOBAL_SET 000805662 980__ $$aEBOOK 000805662 980__ $$aBIB 000805662 982__ $$aEbook 000805662 983__ $$aOnline 000805662 994__ $$a92$$bISE