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Healthcare Business Intelligence : a Guide to Empowering Successful Data Reporting and Analytics + Website.

Solid business intelligence guidance uniquely designed for healthcare organizations Increasing regulatory pressures on healthcare organizations have created a national conversation on data, reporting and analytics in healthcare. Behind the scenes, business intelligence (BI) and data warehousing (DW)...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Madsen, Laura
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : John Wiley & Sons, 2012.
Temas:
Acceso en línea:Texto completo

MARC

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505 0 |a Healthcare Business Intelligence; Contents; Foreword; Preface; Acknowledgments; CHAPTER 1 Business Intelligence An Introduction; What BI Isn't; Do You Need BI?; Healthcare Information Environment; Data Modeling; The Don'ts; CHAPTER 2 The Tenets of Healthcare BI; The Tenets; Data Quality; Metadata Management; Leadership and Sponsorship; Technology and Architecture; BI and IT: Frienemies; Support Calls; Providing Value; Training; Business Analysts; Project Management; Planning; Cultural Implications; Seeking Equilibrium; CHAPTER 3 Data Quality; Data Quality Implications for Healthcare. 
505 8 |a Data GovernanceData Governance Organizational Charter; Getting Started with Data Governance; Data Profiling; Notes; CHAPTER 4 Leadership and Sponsorship; Leading a BI Initiative; Strategy; The Right People in the Right Roles; Grow Thick Skin; The Buck Stops with You; Leadership Opportunities: The JAD Session; Why Sponsorship Is Critical; In Search of a Sponsor; What Is an ""Executive Sponsor""?; Types of Sponsors; Why Multiple Levels of Sponsorship Are Recommended; Losing a Sponsor: The Grieving Process; Keeping Your Sponsor Happy; Opportunity Cost; Notes. 
505 8 |a CHAPTER 5 Technology and ArchitectureThe ""Abilities"": Scalability, Usability, Repeatability, Flexibility; Scalability; Preparing for Growth; Relationships Change; Change Happens; Usability; Knowledge Is Power: Support Metadata; How to Avoid Lawyers: Secure Your Data; From Data to Decisions; Repeatability; Process for Success; Proof of Concept Best Practices; What Works?; How to Save Time; Flexibility; Always Flexible; Our Hero: Solution Architecture; The Art of Data; Notes; CHAPTER 6 Providing Value; Creating a BI Team; The Healthcare BI Team; User Adoption. 
505 8 |a Ease of Use and the Google EffectImprove Training to Reduce the Effect of Attention Scarcity; Managing Expectations to Build Trust; The BI User Persona Continuum; The Executive Persona; The Analyst Persona; The Clinical Persona; The Average Associate Persona; Six Steps to Providing Value; Step 1: Know Your Users by Creating Personas; Step 2: Fixing Your User Interface; Step 3: Address Performance; Step 4: Metadata Is Mandatory; Step 5: Always Teaching: Your Path to an Enlightened End-User Community; Step 6: Communicate, Understand, and Listen; CHAPTER 7 Gauging Your Readiness for BI; Stop. 
505 8 |a Stage 1Stage 2; Stage 3; Proceed with Caution; Stage 1; Stage 2; Stage 3; The Go Stage; Notes; CHAPTER 8 Future Trends in Healthcare BI; Web 2.0 and Social Media; Mobile Technologies for Healthcare BI; Analytics: More Than a Buzzword; Creating a Data-Driven Organization; Big Data and Why It Matters; To the Cloud!; Notes; CHAPTER 9 Putting It All Together; Year One; Get Some Support; Governance Structure; Projects with Value; Technology and Architecture Gaps; If You Have Already Tried BI; If You Are New to BI; Considerations for Hiring a Consulting Services Firm; Architectural Gaps. 
500 |a Cultural Preparedness. 
520 |a Solid business intelligence guidance uniquely designed for healthcare organizations Increasing regulatory pressures on healthcare organizations have created a national conversation on data, reporting and analytics in healthcare. Behind the scenes, business intelligence (BI) and data warehousing (DW) capabilities are key drivers that empower these functions. Healthcare Business Intelligence is designed as a guidebook for healthcare organizations dipping their toes into the areas of business intelligence and data warehousing. This volume is essential in how a BI capability can ea. 
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