Michael N. Lewis - Transforming Healthcare Analytics
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- Название:Transforming Healthcare Analytics
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Transforming Healthcare Analytics: краткое содержание, описание и аннотация
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Transforming Healthcare Analytics: The Quest for Healthy Intelligence This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book:
Explores innovative technologies to overcome data complexity in healthcare Highlights how analytics can help with healthcare market analysis to gain competitive advantage Provides strategies for building a strong foundation for healthcare intelligence Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment Discusses the future of technology and focus areas in the healthcare industry
is an important source of information for CFO’s, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.
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Table of Contents
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 VS. RETURNS ON TECHNOLOGY AND INNOVATION APPLYING AUGMENTED INTELLIGENCE TO SUPPORT CLINICAL, OPERATIONAL, AND FINANCIAL OUTCOMES ENGAGEMENT ON THE HEALTHCARE DELIVERY MODEL TO UNDERSTAND EXPERIENCES AND VIEWPOINTS TO CREATE TRUST BETWEEN PROVIDERS AND PATIENTS CONCLUSION KEY TAKEAWAYS
12 Index
13 End User License Agreement
List of Tables
1 Chapter 2 Table 2.1 Assets Within an Organization Table 2.2 Traditional Quantitative Business Analytics TechniquesTable 2.3 Machine Learning AlgorithmsTable 2.4 Typical Storytelling SkillsTable 2.5 General Business SkillsTable 2.6 Sample of Healthcare Business Acumen Questions
2 Chapter 4Table 4.1 Data Sources
3 Chapter 5Table 5.1 Surgical and E and M Forecast Model Performance
4 Chapter 6Table 6.1 IoT in Industries
List of Illustrations
1 Chapter 1 Figure 1.1 Storage of Your Medical Records Figure 1.2 Sources of Health Data: From Paper to Digital Figure 1.3 Major Advancements in Healthcare Figure 1.4 Uniqueness of Healthcare Data
2 Chapter 2 Figure 2.1 What Is an Analyst? Figure 2.2 The Analytics Maturity Curve Figure 2.3 Four Capability Pillars to Support Your Analytics StrategyFigure 2.4 A3 Title: What Are You Talking About?Figure 2.5 Skills MapFigure 2.6 Basic Organizational Models
3 Chapter 3Figure 3.1 Process FrameworkFigure 3.2 Getting-Ready-for-Work ProcessFigure 3.3 Traditional Process WorkflowFigure 3.4 The Analytics Maturity CurveFigure 3.5 Evolving Process Workflow
4 Chapter 4Figure 4.1 Traditional Approach to Data and AnalyticsFigure 4.2 In-Database Processing ApproachFigure 4.3 In-Memory Processing ApproachFigure 4.4 Hadoop ArchitectureFigure 4.5 Data Analysis with Python and R
5 Chapter 5Figure 5.1 Traditional Work SilosFigure 5.2 The Work Is Converging
Guide
1 Cover
2 Table of Contents
3 Begin Reading
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Wiley and SAS Business Series
The Wiley and SAS Business Series presents books that help senior-level managers with their critical management decisions.
Titles in the Wiley and SAS Business Series include:
Analytics: The Agile Way by Phil Simon
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