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• Foreword
• For the Skimmers
• Acknowledgments
• Chapter 1: What Does Data Mean to You?
• The Gap
• Data Is a Four-Letter Word
• Setting the Stage
• Is This Book for You?
• References
• Chapter 2: What Happens When You Use Data to Transform an Industry?
• The History of Change
• On the Brink
• What Is “Data Driven,” and Why Does It Matter?
• Management and Measurement
• Planning the Approach
• RISE
• Change Mechanisms of RISE
• Revolution
• References
• Chapter 3: How the Lack of Data Standardization Impedes Data-Driven Healthcare
• Healthcare Data Complexity
• Standards . . . Because Everyone Else Has Them
• Pareto’s Principle
• The Great Wall of Data
• References
• Chapter 4: Adopting Your Data Warehouse for the Next Step in BI Maturity
• Go Boldly
• Disruptive Technologies
• Hadoop, the Cloud, and Modern Data Platforms
• The New Way Forward
• Reduce the Unknowns
• Identify the Alternatives
• Standardize
• Evaluate and Improve
• The Future Is Now
• Chapter 5: Creating a Data-Driven Healthcare Organization
• IT or the Business?
• Training
• What and How Should We Teach?
• Governing Data for Our New MODERN DATA PLATFORM
• Chapter 6: Applying Big Data to Change Healthcare
• The Call of Big Data
• Evolve or Die
• Let’s Organize This and Take All the Fun Out of It
• Dipping Your Big Toe into Big Data
• References
• Chapter 7: Making Data Consumable
• How We Present Information Matters
• When We Present the Information Matters, Too
• Why Do We Want to Visually Represent Our Data?
• Learning a New Language
• A Multimedia Approach to Consumable Data
• References
• Chapter 8: Data Privacy and Confidentiality: A Brave New World
• Who Owns the Data?
• Barriers Are Everywhere
• Process and Technology
• Reference
• Chapter 9: A Call to Action
• Applying RISE to Your Efforts
• Some Distinctions about Being New
• Getting Started
• You Know What They Say about Assuming
• What Does Data Mean to You?
• Transforming an Industry
• Data Standardization
• The Next Step in BI Maturity
• Creating the DDHO
• “Big Data”
• Make Your Data Consumable
• Privacy and Confidentiality
• Final Thoughts on Data-Driven Healthcare
• Appendix A: Readiness for Change
• Healthcare Bi Maturity
• Appendix B: Tenets of Healthcare BI
• The Five Tenets
• Data Quality
• Leadership and Sponsorship
• Technology and Architecture
• Value
• Cultural Implications
• Seeking Equilibrium
• Appendix C: Estimating the Efforts
• How Much Can You Do?
• Appendix D: Business Metrics
• Density Curve
• Examining Distributions
• Examining a Scatterplot
• Appendix E: Agenda | Company Name | JAD Session
• Appendix F: Data Visualization Guide
• Purpose of this document
• Section One: Your Organization Brand Requirements
• Examining Distributions
• Examining Relationships
• Afterword
• About the Author
• Index
• End User License Agreement