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035   $a(DE-He213)978-3-030-04506-7
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100   $a20190121d2019      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAnalytics in Healthcare $eA Practical Introduction /$fby Christo El Morr, Hossam Ali-Hassan
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (XI, 105 p. 62 illus., 48 illus. in color.)
225 1 $aSpringerBriefs in Health Care Management and Economics,$x2193-1704
311   $a3-030-04505-6 
327   $aChapter 1. Healthcare and Business Intelligence -- Chapter 2. Analytics: The Building Blocks -- Chapter 3. Descriptive, Predictive and Prescriptive Analytics -- Chapter 4. Healthcare Analytics Applications -- Chapter 5. Data Visualization -- Chapter 6. Future Directions -- Appendix A: Which Analytics to Choose: A Guideline.
330   $aThis book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.
410  0$aSpringerBriefs in Health Care Management and Economics,$x2193-1704
606   $aHealth care management
606   $aHealth services administration
606   $aBig data
606   $aHealth informatics
606   $aHealth Care Management$3https://scigraph.springernature.com/ontologies/product-market-codes/527030
606   $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
606   $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009
615  0$aHealth care management.
615  0$aHealth services administration.
615  0$aBig data.
615  0$aHealth informatics.
615 14$aHealth Care Management.
615 24$aBig Data/Analytics.
615 24$aHealth Informatics.
676   $a362.10681
676   $a362.10681
700   $aEl Morr$b Christo$f1966-$4aut$4http://id.loc.gov/vocabulary/relators/aut$0930155
702   $aAli-Hassan$b Hossam$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910337784703321
996   $aAnalytics in Healthcare$92092106
997   $aUNINA