Healthcare Analytics for Quality and Performance Improvement walks your healthcare organization from relying on generic reports and dashboards to developing powerful analytic applications that drive effective decision-making throughout your organization. Renowned healthcare analytics leader Trevor Strome reveals in this groundbreaking volume the true potential of analytics to harness the vast amounts of data being generated in order to improve the decision-making ability of healthcare managers and improvement teams.
- Examines how technology has impacted healthcare delivery
- Discusses the challenge facing healthcare organizations: to leverage advances in both clinical and information technology to improve quality and performance while containing costs
- Explores the tools and techniques to analyze and extract value from healthcare data
- Demonstrates how the clinical, business, and technology components of healthcare organizations (HCOs) must work together to leverage analytics
Other industries are already taking advantage of big data. Healthcare Analytics for Quality and Performance Improvement helps the healthcare industry make the most of the precious data already at its fingertips for long-overdue quality and performance improvement.
Table of Contents
Preface ix
Acknolwedgments xiii
Chapter 1 Toward Healthcare Improvement Using Analytics 1
Healthcare Transformation - Challenges and Opportunities 1
The Current State of Healthcare Costs and Quality 3
Chapter 2 Fundamentals of Healthcare Analytics 15
How Analytics Can Improve Decision Making 15
Analytics, Quality, and Performance 17
Applications of Healthcare Analytics 19
Components of Healthcare Analytics 21
Chapter 3 Developing an Analytics Strategy to Drive Change 29
Purpose of an Analytics Strategy 29
Analytics Strategy Framework, with a Focus on Quality/Performance Improvement 32
Developing an Analytics Strategy 47
Chapter 4 Defining Healthcare Quality and Value 51
What is Quality? 51
Overview of Healthcare QI 59
Common QI Frameworks in Healthcare 61
Working with QI Methodologies 73
Chapter 5 Data Quality and Governance 75
The Need for Effective Data Management 76
Data Quality 78
Data Governance and Management 84
Enterprise-wide Visiblilty and Opportunity 88
Chapter 6 Working with Data 91
Data: The Raw Material of Analytics 92
Preparing Data for Analytics 92
Getting Started with Analyzing Data 100
Summary 112
Chapter 7 Developing and Using Effective Indicators 115
Measures, Metrics, and Indicators 115
Using Indicators to Guide Healthcare Improvement Activities 123
Chapter 8 Leveraging Analytics in Quality Improvement Activities 129
Moving from Analytics Insight to Healthcare Improvement 129
Chapter 9 Basic Statistical Methods and Control Chart Principles 145
Statistical Methods for Detecting Changes in Quality or Performance 145
Graphical Methods for Detecting Changes in Quality or Performance 153
Putting It Together 160
Chapter 10 Usability and Presentation of Information 165
Presentation and Visualization of Information 165
Dashboards for Quality and Performance Improvement 173
Providing Accessibility to and Ensuring Usability of Analytics Systems 180
Chapter 11 Advanced Analytics in Healthcare 183
Overview of Advanced Analytics 183
Applications of Advanced Analytics 186
Developing and Testing Advanced Analytics 190
Overview of Predictive Algorithms 197
Chapter 12 Becoming an Analytical Healthcare Organization 205
Requirements to Become an Analytical Organization 207
Building Effective Analytical Teams 213
Summary 215
About the Author 217
About the Companion Web Site 219
Index 221
