Transforming Healthcare Analytics. Michael N. Lewis

      1  Cover

      2  About the Authors

      3  Acknowledgments DISCLAIMER

      4  Foreword NOTE

      5  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 NOTES

      6  CHAPTER 2: People THE ABILITY TO PRODUCE RESULTS WHAT TYPES OF ROLES? WHAT JOB ROLES 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 NOTES

      7  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? NOTES

      8  CHAPTER 4: Technology STATUS QUO IN-DATABASE PROCESSING IN-MEMORY PROCESSING OPEN SOURCE TECHNOLOGY HADOOP SPARK PYTHON R OPEN SOURCE BEST PRACTICES NOTES

      9  CHAPTER 5: Unifying People, Process, and Technology PEOPLE USE CASE – DELIVERING PRIMARY CARE PREDICTIVE RISK MODEL PROCESS USE CASE – RATE REALIZATION MODEL TECHNOLOGY USE CASE – POPULATION HEALTH MANAGEMENT APPLICATION INTEGRATING PEOPLE, PROCESS, AND TECHNOLOGY – ENHANCING CLEVELAND CLINIC WEEKLY OPERATIONAL MEETINGS/CORPORATE STATISTICS DASHBOARDS CASE STUDY TAKEAWAYS CONCLUSION

      10  CHAPTER 6: The Future in Healthcare CLOUD SECURITY INTERNET OF THINGS AI – ARTIFICIAL (AND AUGMENTED) INTELLIGENCE VIRTUAL REALITY – TEACHING, EDUCATION, LAB NOTES

      11  CHAPTER 7: Final Thoughts FINAL THOUGHTS INDUSTRY TRANSFORMATION JOURNEY TO VALUE-BASED CARE INVESTMENT