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<p>Foreword xi</p> <p>Preface xiii</p> <p>Acknowledgments xvii</p> <p><b>Chapter 1 </b><b>Business Intelligence 1</b></p> <p>What BI Isn’t 2</p> <p>Do You Need BI? 3</p> <p>Healthcare Information Environment 4</p> <p>Data Modeling 9</p> <p>The Don’ts 10</p> <p><b>Chapter 2 </b><b>The Tenets of Healthcare BI 13</b></p> <p>The Tenets 15</p> <p>Data Quality 17</p> <p>Leadership and Sponsorship 22</p> <p>Technology and Architecture 26</p> <p>Providing Value 31</p> <p>Cultural Implications 35</p> <p>Seeking Equilibrium 35</p> <p><b>Chapter 3 </b><b>Data Quality 39</b></p> <p>Data Quality Implications for Healthcare 40</p> <p>Data Governance 42</p> <p>Data Profiling 58</p> <p><b>Chapter 4 </b><b>Leadership and Sponsorship 67</b></p> <p>Leading a BI Initiative 68</p> <p>Why Sponsorship Is Critical 80</p> <p><b>Chapter 5 </b><b>Technology and Architecture 101</b></p> <p>The “Abilities”: Scalability, Usability, Repeatability, Flexibility 104</p> <p>Scalability 106</p> <p>Usability 110</p> <p>Repeatability 117</p> <p>Flexibility 130</p> <p><b>Chapter 6 </b><b>Providing Value 135</b></p> <p>Creating a BI Team 136</p> <p>User Adoption 144</p> <p>The BI User Persona Continuum 149</p> <p>Six Steps to Providing Value 152</p> <p><b>Chapter 7 </b><b>Gauging Your Readiness for BI 175</b></p> <p>Stop 181</p> <p>Proceed with Caution 186</p> <p>The Go Stage 191</p> <p><b>Chapter 8 </b><b>Future Trends in Healthcare BI 195</b></p> <p>Web 2.0 and Social Media 197</p> <p>Mobile Technologies for Healthcare BI 204</p> <p>Analytics: More Than a Buzzword 206</p> <p>Creating a Data-Driven Organization 208</p> <p>Big Data and Why It Matters 211</p> <p>To the Cloud! 212</p> <p><b>Chapter 9 </b><b>Putting It All Together 215</b></p> <p>Year One 216</p> <p>Get Some Support 217</p> <p>Governance Structure 220</p> <p>Projects with Value 221</p> <p>Technology and Architecture Gaps 223</p> <p>Architectural Gaps 229</p> <p>Cultural Preparedness 230</p> <p>Marketing the Program 230</p> <p>Manage the Inaugural Effort 232</p> <p>Build Supporting Processes and Infrastructure 234</p> <p>Train and Deploy 236</p> <p>Operationalize the BI Function 238</p> <p>KPIs for Healthcare 239</p> <p>Departing Thoughts on Healthcare BI 240</p> <p>Appendix A Data Governance Policies and Procedures 243</p> <p>Appendix B Business Intelligence Reporting Tool 253</p> <p>Appendix C Business Intelligence Road Map Template 265</p> <p>Appendix D Business Intelligence Marketing Plan Template 281</p> <p>Appendix E Status Report Template 285</p> <p>About the Website 289</p> <p>About the Author 291</p> <p>Index 293</p>

<p><b>LAURA B. MADSEN, MS,</b> 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.

<p>Healthcare, probably more than any other industry, has everything to gain from moving to modern data reporting and analytics systems. Which is why it is so surprising that, on the whole, the industry has been so slow to adopt the business intelligence (BI) programs and data warehousing (DW) systems that drive such functions. In part, this has to do with a lack of knowledge among healthcare business leaders about how a BI program can benefit their organizations and what is involved in building and maintaining one. Written by an author at the forefront of the healthcare BI revolution, <i>Healthcare Business Intelligence</i> fills that knowledge gap. <p>Not a technical manual or data modeling guide, this book was written for CIOs, IT managers, and other business professionals who want to know more about BI, specifically within a healthcare context. It tells you how to present a strong business case for BI, as well as how to plan, budget, build, and maintain a BI program. And, as no two healthcare organizations are the same, it offers priceless pointers on how to shape a BI program to your organization's unique information needs, data resources, and culture. <p>Based upon author Laura Madsen's extensive experience modeling BI programs for healthcare institutions and with numerous real-life case studies illustrating the advantages of a well-designed BI program (and the disadvantages of a poorly designed one), this book fills you in on: <ul> <li>The crucial 5 tenets of healthcare business intelligence</li> <li>How to assess your organization's preparedness to adopt BI</li> <li>How to build an effective BI team</li> <li>The risks associated with getting BI/DW wrong and how to minimize them</li> <li>Tools and techniques for jump-starting your BI program</li> <li>Developing an effective BI lexicon for use in your organization</li> </ul> <p>Along with a companion website featuring a variety of tools, <i>Healthcare Business Intelligence</i> is an invaluable source of timely information. It offers expert advice, guidance, and powerful tools for healthcare companies that would like to bring their information systems into the new millennium.

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