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 ease the…mehr
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 ease the increasing regulatory reporting pressures on all healthcare organizations. Explores the five tenets of healthcare business intelligence Offers tips for creating a BI team Identifies what healthcare organizations should focus on first Shows you how to gain support for your BI program Provides tools and techniques that will jump start your BI Program Explains how to market and maintain your BI Program
The risk associated with doing BI/DW wrong is high, and failures are well documented. Healthcare Business Intelligence helps you get it right, with expert guidance on getting your BI program started and successfully keep it going.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
LAURA B. MADSEN, MS, is founder of the Healthcare Business Intelligence Summit and international keynote speaker on healthcare BI. She brings more than a decade of experience in BI and data warehousing for healthcare. Laura leads the Healthcare Practice for Lancet, a leading BI consulting firm headquartered in Minneapolis, Minnesota. At Lancet, she spearheads strategy and product development for the healthcare sector and works with key accounts across the country in the provider, payer, and healthcare manufacturing markets. Prior to joining Lancet, Laura held senior positions with several leading healthcare companies, including UnitedHealth Group. Her responsibilities included leading an enterprise BI project from pre-concept to execution, managing a commercially available suite of BI tools, and advising both business and IT leaders on effective healthcare BI practices.
Inhaltsangabe
Foreword xi Preface xiii Acknowledgments xvii Chapter 1 Business Intelligence 1 What BI Isn't 2 Do You Need BI? 3 Healthcare Information Environment 4 Data Modeling 9 The Don'ts 10 Chapter 2 The Tenets of Healthcare BI 13 The Tenets 15 Data Quality 17 Leadership and Sponsorship 22 Technology and Architecture 26 Providing Value 31 Cultural Implications 35 Seeking Equilibrium 35 Chapter 3 Data Quality 39 Data Quality Implications for Healthcare 40 Data Governance 42 Data Profiling 58 Chapter 4 Leadership and Sponsorship 67 Leading a BI Initiative 68 Why Sponsorship Is Critical 80 Chapter 5 Technology and Architecture 101 The "Abilities": Scalability, Usability, Repeatability, Flexibility 104 Scalability 106 Usability 110 Repeatability 117 Flexibility 130 Chapter 6 Providing Value 135 Creating a BI Team 136 User Adoption 144 The BI User Persona Continuum 149 Six Steps to Providing Value 152 Chapter 7 Gauging Your Readiness for BI 175 Stop 181 Proceed with Caution 186 The Go Stage 191 Chapter 8 Future Trends in Healthcare BI 195 Web 2.0 and Social Media 197 Mobile Technologies for Healthcare BI 204 Analytics: More Than a Buzzword 206 Creating a Data-Driven Organization 208 Big Data and Why It Matters 211 To the Cloud! 212 Chapter 9 Putting It All Together 215 Year One 216 Get Some Support 217 Governance Structure 220 Projects with Value 221 Technology and Architecture Gaps 223 Architectural Gaps 229 Cultural Preparedness 230 Marketing the Program 230 Manage the Inaugural Effort 232 Build Supporting Processes and Infrastructure 234 Train and Deploy 236 Operationalize the BI Function 238 KPIs for Healthcare 239 Departing Thoughts on Healthcare BI 240 Appendix A Data Governance Policies and Procedures 243 Appendix B Business Intelligence Reporting Tool 253 Appendix C Business Intelligence Road Map Template 265 Appendix D Business Intelligence Marketing Plan Template 281 Appendix E Status Report Template 285 About the Website 289 About the Author 291 Index 293
Foreword xi Preface xiii Acknowledgments xvii Chapter 1 Business Intelligence 1 What BI Isn't 2 Do You Need BI? 3 Healthcare Information Environment 4 Data Modeling 9 The Don'ts 10 Chapter 2 The Tenets of Healthcare BI 13 The Tenets 15 Data Quality 17 Leadership and Sponsorship 22 Technology and Architecture 26 Providing Value 31 Cultural Implications 35 Seeking Equilibrium 35 Chapter 3 Data Quality 39 Data Quality Implications for Healthcare 40 Data Governance 42 Data Profiling 58 Chapter 4 Leadership and Sponsorship 67 Leading a BI Initiative 68 Why Sponsorship Is Critical 80 Chapter 5 Technology and Architecture 101 The "Abilities": Scalability, Usability, Repeatability, Flexibility 104 Scalability 106 Usability 110 Repeatability 117 Flexibility 130 Chapter 6 Providing Value 135 Creating a BI Team 136 User Adoption 144 The BI User Persona Continuum 149 Six Steps to Providing Value 152 Chapter 7 Gauging Your Readiness for BI 175 Stop 181 Proceed with Caution 186 The Go Stage 191 Chapter 8 Future Trends in Healthcare BI 195 Web 2.0 and Social Media 197 Mobile Technologies for Healthcare BI 204 Analytics: More Than a Buzzword 206 Creating a Data-Driven Organization 208 Big Data and Why It Matters 211 To the Cloud! 212 Chapter 9 Putting It All Together 215 Year One 216 Get Some Support 217 Governance Structure 220 Projects with Value 221 Technology and Architecture Gaps 223 Architectural Gaps 229 Cultural Preparedness 230 Marketing the Program 230 Manage the Inaugural Effort 232 Build Supporting Processes and Infrastructure 234 Train and Deploy 236 Operationalize the BI Function 238 KPIs for Healthcare 239 Departing Thoughts on Healthcare BI 240 Appendix A Data Governance Policies and Procedures 243 Appendix B Business Intelligence Reporting Tool 253 Appendix C Business Intelligence Road Map Template 265 Appendix D Business Intelligence Marketing Plan Template 281 Appendix E Status Report Template 285 About the Website 289 About the Author 291 Index 293
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