Preface

SECTION I GOALS, METHODOLOGIES, AND CHALLENGES FOR CLINICAL DECISION SUPPORT AND BEYOND1. Definitions, Purposes, and Scope2. Clinical Decision Support Methods3. The Journey to Broad Adoption4. The Role of Quality Measurement and Reporting Feedback as a Driver for Care Improvement5. International Dimensions of Clinical Decision Support SystemsSECTION II SOURCES OF KNOWLEDGE FOR CLINICAL DECISION SUPPORT AND BEYOND6. Human-Intensive Techniques7. Data-Driven Approaches to Generating Knowledge: machine learning, artificial intelligence, and predictive modelling8. Modernizing Evidence Synthesis for Evidence-Based MedicineSECTION III THE TECHNOLOGY OF CLINICAL DECISION SUPPORT AND BEYOND9. Decision Rules and Expressions10. Guidelines and Workflow Models11. Ontologies, Vocabularies and Data Models12. Grouped Knowledge Elements13. Infobuttons and Point of Care Access to Knowledge14. Information Visualization and Integrated Information Display15. The Role of Standards16. Population Analytics and Decision Support17. Expanded sources for Precision Medicine18. Knowledge Resources

SECTION IV ADOPTION OF CLINICAL DECISION SUPPORT AND OTHER MODES OF KNOWLEDGE ENHANCEMENT19. Cognitive Considerations for Health Information Technology20. CDS Implementation and Governance21. Managing the Investment in Clinical Decision Support22. Evaluation of Clinical Decision Support23. Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery24. Patient-Centered Clinical Decision Support25. CDS and Health Disparities26. Population Health Management27. CDS for Public Health

SECTION V THE JOURNEY TO A KNOWLEDGE-ENHANCED HEALTH AND HEALTH CARE SYSTEM28. Clinical Knowledge Management29. Integration of Knowledge Resources: Architectures30. Getting to Knowledge-Enhanced Health and Healthcare