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Data-Driven Healthcare: How Analytics and BI are Transforming the Industry

Book Description

Healthcare is changing, and data is the catalyst

Data is taking over in a powerful way, and it's revolutionizing the healthcare industry. You have more data available than ever before, and applying the right analytics can spur growth. Benefits extend to patients, providers, and board members, and the technology can make centralized patient management a reality. Despite the potential for growth, many in the industry and government are questioning the value of data in health care, wondering if it's worth the investment.

Data-Driven Healthcare: How Analytics and BI are Transforming the Industry tackles the issue and proves why BI is not only worth it, but necessary for industry advancement. Healthcare BI guru Laura Madsen challenges the notion that data have little value in healthcare, and shows how BI can ease regulatory reporting pressures and streamline the entire system as it evolves. Madsen illustrates how a data-driven organization is created, and how it can transform the industry.

  • Learn why BI is a boon to providers

  • Create powerful infographics to communicate data more effectively

  • Find out how Big Data has transformed other industries, and how it applies to healthcare

  • Data-Driven Healthcare: How Analytics and BI are Transforming the Industry provides tables, checklists, and forms that allow you to take immediate action in implementing BI in your organization. You can't afford to be behind the curve. The industry is moving on, with or without you. Data-Driven Healthcare: How Analytics and BI are Transforming the Industry is your guide to utilizing data to advance your operation in an industry where data-fueled growth will be the new norm.

    Table of Contents

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