LEADER 07017nam 2200841 a 450 001 9910815778803321 005 20240314000925.0 010 $a9781118733950 010 $a1118733959 010 $a9781118734896 010 $a1118734890 010 $a9781118734278 010 $a1118734270 035 $a(CKB)2550000001094891 035 $a(EBL)1221168 035 $a(OCoLC)842316579 035 $a(SSID)ssj0000916877 035 $a(PQKBManifestationID)11487179 035 $a(PQKBTitleCode)TC0000916877 035 $a(PQKBWorkID)10877998 035 $a(PQKB)11787069 035 $a(OCoLC)867190698 035 $a(MiAaPQ)EBC1221168 035 $a(DLC) 2013018174 035 $a(Au-PeEL)EBL1221168 035 $a(CaPaEBR)ebr10722540 035 $a(CaONFJC)MIL501801 035 $a(PPN)183671953 035 $a(FINmELB)ELB179266 035 $a(Perlego)1001405 035 $a(EXLCZ)992550000001094891 100 $a20150303d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHealth analytics $egaining the insights to transform health care /$fJason Burke 205 $a1st ed. 210 $aHoboken, N.J. $cWiley$dc2013 215 $a1 online resource (274 p.) 225 1 $aWiley & SAS Business Series 300 $aIncludes index. 311 08$a9781118383049 311 08$a1118383044 311 08$a9781299705500 311 08$a1299705502 327 $aHealth Analytics: Gaining the Insights to Transform Health Care; Contents; Foreword; Preface; Acknowledgements; Chapter 1: A Changing Business for a Changing Science; The Gathering; How Can Medicine Become Smarter?; Complexity Exceeding Cognition; Learning from Other Industries; Nancy; Characterizing Health Analytics; The Gathering Revisited; Chapter 2: Convergence and the Capability Map; Nice Job, But . . .; Fifty Flashlights; Convergence Defined; Is Convergence Really Required?; The Rush to Health It; The Capability Map; Putting the Capability Map to Use; Health Analytics as a Discipline 327 $aNotesChapter 3: The Four Enterprise Disciplines of Health Analytics; Heresy; Health Analytics for the Nonanalytical; Information Management; Statistics; Information Delivery; High-Performance Computing; Maturation and Scale; Enterprise-Class Analytics: Putting it All Together; Chapter 4: Dealing with Data; Callimachus; Not a Drop to Drink; Defining Data; Big Data; Growth in Data Provisioning; The Excuses Every Leader Needs to Know; Building for Tomorrow; Conclusion; Chapter 5: BEST Care, First Time, Every Time; Medicine: Art, Science, or Both?; Leveraging Evidence to Deliver Improved Outcomes 327 $aWhat are Clinical Outcomes?Supplementing the Unaided Human Mind; Health Care's Dark Fiber; Identifying Hidden Patterns; Chapter 6: Financial Performance and Reimbursement; Goals; Structures and Models; Many Names, Common Attributes; What is Needed; Surviving and Thriving; Chapter 7: Health Outcomes Analysis; No Leeches Necessary; Orientation; The Big Seven + One; Timing is Everything; Groupers; The Population-Patient Pivot; Patients Like this One; One Model, Many Beneficiaries; The Role of Rules Engines; Challenges in Health Outcomes Analytics; Health Outcomes Analytics in Practice 327 $aThe Marvelous LeechNote; Chapter 8: Health Value and Cost; An Asymmetrical Industry; Kaplan and Porter's Stand; The Elusive Health Value; Dissecting Value; Linking Costs to Risk; Value Innovation; Note; Chapter 9: The New Behavioral Health; Dangerous Portals; The Health-Mindedness Gene Experiment; Engel's Model; The New Evolving Science of Behavioral Health; What You Are; What You Experience; What You Do; What You Believe; Influencing Change; Putting Into Practice; Outcomes; Notes; Chapter 10: Customer Insights; The Consumerized Patient; Will the Real Customer Please Stand Up? 327 $aWhat Are Customer Analytics?A Framework of Customer Analytics; Sharing Insights; Adherence; Beyond Commercial; Chapter 11: Risk Management; Risky Business; Why Are Risks So Hard?; Recharacterizing Risk Factors; The Example of Customer Segmentation; Risk Interdependencies; Everybody in the Pool; The Catch; Risk Adjustment; Borrowing from Other Industries; Growing Risks; Chapter 12: Quality and Safety; Defining Quality; Not Your Father's Toyota; On Track; Avoiding the Obvious; We Just Have to Do This; The Growing Inventory; Strategy and Performance Management; Transparency and Benchmarking 327 $aSetting Quality Targets 330 $a"A hands-on, analytics road map for health industry leadersThe industry-wide transformation taking place across the health and life sciences ecosystem is mandating that organizations adopt new decision-making capabilities, based on science and real-world information. Analytics will be a required competency for the modern health enterprise; this book is about how to "cross the chasm." The ultimate analytics guide for the health industry leader, this essential book equips business leaders with little-to-no experience in analytics to understand how to incorporate analytics as a cornerstone of their 21st century competitive business strategy. Paints the picture for a new health enterprise, one focused on the patient Explores the financial components of this new operating model, using analytics to optimize the tradeoffs between cost and value Deals with the rising role of the consumer, using analytics to create a completely new health engagement model with individual recipients of care Looks at how analytics can drive innovations in care practice, patient-experienced medical outcomes, and analytically driven novel therapies optimized for the individual patient Presents a variety of text, tables, and graphics illustrating the various concepts being described Within each section and chapter, Health Analytics assesses the current landscape, proposing a new model/concept, sharing real-world stories of how the old and new world come together, and framing a "how-to" for the reader in terms of growing that particular set of capabilities in their own enterprises"--$cProvided by publisher. 410 0$aWiley and SAS business series. 606 $aHealth services administration$xDecision making$xMathematical models 606 $aHealth facilities$xBusiness management 606 $aMedical care$xInformation technology$xManagement 606 $aMedical informatics$xManagement 615 0$aHealth services administration$xDecision making$xMathematical models. 615 0$aHealth facilities$xBusiness management. 615 0$aMedical care$xInformation technology$xManagement. 615 0$aMedical informatics$xManagement. 676 $a362.1068 686 $aBUS019000$2bisacsh 700 $aBurke$b Jason$f1969-$01701296 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815778803321 996 $aHealth analytics$94084949 997 $aUNINA