Reinventing Clinical Decision Support-Data Analytics, Artificial Intelligence, and Diagnostic Reasoning

Chapter 1: Clinical Reasoning and Diagnostic Errors 
Measuring Diagnostic Errors 
Understanding the Multiple Causes of Diagnostic Errors 
Type 1 and Type 2 Thinking 
Combining Cognitive Approaches
Listening More, Talking Less 
Chapter 2: The Promise of Artificial Intelligence and Machine Learning 
Image Analysis 
Machine Learning Impacts Several Medical Specialties
AI and Medication Management
Chapter 3: AI Criticisms, Obstacles, and Limitations
Explainability Remains a Challenge 
Generalizability Remains Elusive 
Addressing Hype, Fraud, and Misinformation
Chapter 4: CDS Systems: Past, Present, and Future
CDS Has Improved Dramatically Over Time
How Effective Are CDS Systems?
Obstacles to CDS Implementation and Effectiveness
Commercially Available CDS Systems
Chapter 5: Reengineering Data Analytics
The Future of Subgroup Analysis 
Predicting MS and Emergency Response 
Big Data Meets Medication Management
The Role of Data Analytics in Cancer Risk Assessment
Impact of Data Analytics on Healthcare Costs 
Chapter 6: Will Systems Biology Transform Clinical Decision Support?
Redefining Health and Disease
Is Systems Biology Ready for Prime Time Medicine?
The Whole Is Greater than the Sum of its Parts
Network Medicine
Chapter 7: Precision Medicine
Addressing Genetic Predisposition 
Pharmacogenomics
Chapter 8: Reinventing Clinical Decision Support: Case Studies
Improving Patient Scheduling, Optimizing ED Functioning
Embracing Mobile Tools
Technological Approach to Diagnostic Error Detection
Promising Solutions, Unrealistic Expectations