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<p>Foreword xiii</p> <p>For the Skimmers xv</p> <p>Acknowledgments xvii</p> <p><b>Chapter 1 What Does Data Mean to You? 1</b></p> <p>The Gap 3</p> <p>Data Is a Four-Letter Word 5</p> <p>Strengths 6</p> <p>Weaknesses 6</p> <p>Opportunities 7</p> <p>Threats 7</p> <p>Setting the Stage 8</p> <p>Is This Book for You? 10</p> <p>References 10</p> <p><b>Chapter 2 What Happens When You Use Data to Transform an Industry? 13</b></p> <p>The History of Change 15</p> <p>On the Brink 17</p> <p>What Is “Data Driven,” and Why Does It Matter? 18</p> <p>Management and Measurement 20</p> <p>Planning the Approach 21</p> <p>RISE 22</p> <p>Reduce the Unknowns 23</p> <p>Identify the Alternatives 24</p> <p>Streamline the Standards 24</p> <p>Evaluate the Activities 25</p> <p>Change Mechanisms of RISE 25</p> <p>Revolution 27</p> <p>References 27</p> <p><b>Chapter 3 How the Lack of Data Standardization Impedes Data-Driven Healthcare 29</b></p> <p>Healthcare Data Complexity 30</p> <p>Moving Data 31</p> <p>Data Is Your Asset—Manage It That Way 32</p> <p>Standards . . . Because Everyone Else Has Them 34</p> <p>Pareto’s Principle 38</p> <p>The Great Wall of Data 39</p> <p>References 40</p> <p>Note 40</p> <p><b>Chapter 4 Adopting Your Data Warehouse for the</b></p> <p>Next Step in BI Maturity 41</p> <p>Go Boldly 43</p> <p>Disruptive Technologies 43</p> <p>Hadoop, the Cloud, and Modern Data Platforms 44</p> <p>The New Way Forward 46</p> <p>Reduce the Unknowns 48</p> <p>Identify the Alternatives 48</p> <p>Standardize 48</p> <p>Evaluate and Improve 49</p> <p>The Future Is Now 51</p> <p><b>Chapter 5 Creating a Data-Driven Healthcare Organization 55</b></p> <p>IT or the Business? 58</p> <p>Training 61</p> <p>What and How Should We Teach? 61</p> <p>Governing Data for Our New MDP 63</p> <p><b>Chapter 6 Applying “Big Data” to Change Healthcare 67</b></p> <p>The Call of Big Data 70</p> <p>Evolve or Die 72</p> <p>Let’s Organize This and Take All the Fun Out of It 73</p> <p>Dipping Your Big Toe into Big Data 75</p> <p>References 76</p> <p><b>Chapter 7 Making Data Consumable 77</b></p> <p>How We Present Information Matters 78</p> <p>When We Present the Information Matters, Too 80</p> <p>Why Do We Want to Visually Represent Our Data? 81</p> <p>Learning a New Language 83</p> <p>A Multimedia Approach to Consumable Data 84</p> <p>References 87</p> <p><b>Chapter 8 Data Privacy and Confi dentiality: A Brave</b></p> <p>New World 89</p> <p>Who Owns the Data? 91</p> <p>Barriers Are Everywhere 93</p> <p>Process and Technology 94</p> <p>Reference 95</p> <p><b>Chapter 9 A Call to Action 97</b></p> <p>Applying RISE to Your Efforts 100</p> <p>Some Distinctions about Being New 101</p> <p>Getting Started 102</p> <p>You Know What They Say about Assuming 104</p> <p>What Does Data Mean to You? 104</p> <p>Transforming an Industry 105</p> <p>Data Standardization 105</p> <p>The Next Step in BI Maturity 106</p> <p>Creating the DDHO 107</p> <p>“Big Data” 107</p> <p>Make Your Data Consumable 108</p> <p>Privacy and Confi dentiality 109</p> <p>Final Thoughts on Data-Driven Healthcare 109</p> <p>Appendix A Readiness for Change 111</p> <p>Appendix B Tenets of Healthcare BI 115</p> <p>Appendix C Estimating the Efforts 135</p> <p>Appendix D Business Metrics 139</p> <p>Appendix E Agenda | Company Name | JAD Session 169</p> <p>Appendix F Data Visualization Guide 173</p> <p>Afterword 181</p> <p>About the Author 187</p> <p>Index 189</p>

<p><b>LAURA B. MADSEN</b> has 15 years of experience in BI and data warehousing for healthcare and is the author of <i>Healthcare Business Intelligence.</i> She leads the Enterprise BI and Analytics Program at Children's Hospitals and Clinics of Minnesota, where she is charged with creating a data-driven healthcare organization. Laura has held senior positions with several leading healthcare technology companies, including UnitedHealth Group. In 2006, she co-founded the Twin Cities chapter of The Data Warehouse Institute (TDWI), and in 2008 she founded the Healthcare BI Summit. Laura speaks nationally and internationally about the importance and power of data in healthcare.

<p>Big data, analytics, and business intelligence (BI) have already taken oversome of the economy's biggest industries, including tech and retail. The successes in these areas—and the failures of organizations that have failed to keep up—show that being behind the data curve could be dangerous. Even if data-driven operations never completely replace traditional healthcare management, the potential for improvements in efficiency and outcomes makes this new trend worth a long look. <i>Data-Driven Healthcare</i> speeds the process along by examining the opportunities and challenges specific to this industry and outlining a first-yearplan that will give managers the confidence to dive in. <p>The complexity and sensitivity of healthcare organizations make data-driven change an especially high-stakes endeavor. From organizational structure to patient out-comes, insights from intelligently-managed data affect outcomes at any number of levels. The aim of <i>Data-Driven Healthcare</i> is to make sense of all this complexity, and the book wastes no time in examining the pertinent strengths, weaknesses, opportunities, and threats. Without this understanding, healthcare leaders could find themselves unable to move forward in a way that maximizes BI and advances the industry. <p>As senior-level managers know, simple theory is not enough to make solid decisions and capitalize on new trends. Implementing theory with proven, context-sensitive techniques is absolutely required. Author Laura B. Madsen is sensitive to this requirement and provides resources such as visual aids, business metrics, checklists, tables, and forms to bridge the gap between theory and practice. <i>Data-Driven Healthcare</i> will be equally appealing to leaders who need a basic understanding of the importance of data and those who are further along but looking for tools to help propel their organizations to BI maturity.

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