Transforming healthcare analytics : the quest for healthy intelligence
Michael N. Lewis, Tho H. Nguyen
Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Acknowledgments -- Disclaimer -- Foreword -- Chapter 1 Introduction -- Purpose of This Book -- Health Data Defined -- Healthcare Challenges and Focus Areas -- Audience for This Book -- How to Read This Book -- State of Healthcare -- Health Technology -- Health Research -- Medical Procedures -- Growth in Healthcare -- Healthcare Data -- Multifaceted and Siloed Data -- Unstructured Data -- Strict Regulations -- Value of Analytics -- Chapter 2 People -- The Ability to Produce Results -- What Types of Roles? -- What Job Roles Do You Need? -- What Capabilities Do You Need? -- Organizational Structures for your Company -- Roles to Execute your Data and Analytics Strategy -- Challenges to Getting the Right People -- The Ability to Consume Results -- The "Real Analytical Employee Cost" to an Organization -- Building a Resource Library -- Conclusion -- Chapter 3 Process -- What is Culture? -- What is Design Thinking? -- What is Lean? -- What is Agile? -- Design Thinking, Lean, and Agile Definitions -- Creating a Data Management and Analytics Process Framework -- Changing the Analytics Journey -- What is the current process? -- Chapter 4 Technology -- Status Quo -- In-Database Processing -- Cost of In-Database Processing -- In-Memory Processing -- Need for Speed -- Benefits with In-Memory Processing -- How to Get Started -- Requirements -- Cost of In-Memory Processing -- Open Source Technology -- Hadoop -- Spark -- Data Preparation and Integration -- In-Stream Processing -- Prescriptive Analytics -- Interactive Insights -- Python -- R -- Open Source Best Practices -- Chapter 5 Unifying People, Process, and Technology -- People Use Case - Delivering Primary Care Predictive Risk Model -- Process Use Case - Rate Realization Model.