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024 7 $a10.1007/978-3-030-06109-8
035   $a(OCoLC)1088722713
035   $a(MiFhGG)GVRL59NI
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100   $a20190226h20192019  uy             0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aBig data, big challenges $ea healthcare perspective : background, issues, solutions and research directions /$fMowafa Househ, Andre W. Kushniruk, Elizabeth M. Borycki, editors
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cSpringer,$d[2019]
210  4$d?2019
215   $a1 online resource (viii, 144 pages) $cillustrations (chiefly color), charts
225 1 $aLecture Notes in Bioengineering,$x2195-271X
311 0 $a9783030061081 
320   $aIncludes bibliographical references and index.
327   $apart I. Health professional perspective -- part II. Human factors and ethical perspectives -- part III. Technological perspectives.
330   $aThis is the first book offering a comprehensive, yet concise, view on both the challenges and opportunities related to the use of big data in health care. The different chapters report on different perspectives: from health management to patient safety; from the human factor perspective to the ethical and economic ones, and more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the work presented not only sheds light on the problems of big data, but also paves the way for possible solutions and future research directions. The book offers a useful reference guide to health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, helping them in their decision making processes, as well as to students and academicians learning or dealing with data science related research issues in healthcare.
410  0$aLecture Notes in Bioengineering,$x2195-271X.
606   $aHealth informatics
606   $aBiomedical engineering
606   $aSocial service
606   $aHealth administration
606   $aBioethics
606   $aBig data
615  0$aHealth informatics.
615  0$aBiomedical engineering.
615  0$aSocial service.
615  0$aHealth administration.
615  0$aBioethics.
615  0$aBig data.
676   $a610.285
702   $aHouseh$b Mowafa
702   $aKushniruk$b Andre W.
702   $aBorycki$b Elizabeth M.
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910337523603321
996   $aBig data, big challenges$93872114
997   $aUNINA