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: A Guide to Empowering Successful Data Reporting and Analytics, + Website 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: A Guide to Empowering Successful Data Reporting and Analytics, + Website helps you get it right, with expert guidance on getting your BI program started and successfully keep it going.

Table of Contents

• Foreword
• Preface
• Acknowledgments
• Chapter 1: Business intelligence (BI)
  • 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
  • Leadership and sponsorship
  • Technology and architecture
  • Providing value
  • Cultural implications
  • Seeking equilibrium
• Chapter 3: Data quality
  • Data quality implications for healthcare
  • Data governance
  • Data profiling
• Chapter 4: Leadership and sponsorship
  • Leading a BI initiative
  • Why sponsorship is critical
• Chapter 5: Technology and architecture
  • The "abilities": scalability, usability,
  • Repeatability, flexibility
  • Scalability
  • Usability
  • Repeatability
  • Flexibility
• Chapter 6: Providing value
  • Creating a BI team
  • User adoption
  • The BI user persona continuum
  • Six steps to providing value
• Chapter 7: Gauging your readiness for BI
  • Stop
  • Proceed with caution
  • The go stage
• 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!
• Chapter 9: Putting it all together
  • Year one
  • Get some support
  • Governance structure
  • Projects with value
  • Technology and architecture gaps
  • Architectural gaps
  • Cultural preparedness
  • Marketing the program
  • Manage the inaugural effort
  • Build supporting processes and infrastructure
  • Train and deploy
  • Operationalize the BI function
  • KPIs for healthcare
  • Departing thoughts on healthcare BI
• Appendix A data governance policies and procedures
• Appendix B business intelligence reporting tool
• Appendix C business intelligence road map template
• Appendix D business intelligence marketing plan
• Template
• Appendix E status report template
• About the website
• About the author
• Index

About the Author

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. 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.