CLINICAL DECISION SUPPORT AND BEYOND, PROGRESS AND OPPORTUNITIES IN KNOWLEDGE-ENHANCED HEALTH AND HEALTHCARE, 3RD EDITION

SECTION I GOALS, METHODOLOGIES, AND CHALLENGES FOR CLINICAL DECISION SUPPORT AND BEYOND
1. Definitions, Purposes, and Scope
2. Clinical Decision Support Methods
3. The Journey to Broad Adoption
4. The Role of Quality Measurement and Reporting Feedback as a Driver for Care Improvement
5. International Dimensions of Clinical Decision Support Systems

SECTION II SOURCES OF KNOWLEDGE FOR CLINICAL DECISION SUPPORT AND BEYOND
6. Human-Intensive Techniques
7. Data-driven approaches to generating knowledge: machine learning, artificial intelligence, and predictive modelling
8. Modernizing Evidence Synthesis for Evidence-Based Medicine

SECTION III THE TECHNOLOGY OF CLINICAL DECISION SUPPORT AND BEYOND
9. Decision Rules and Expressions
10. Guidelines and Workflow Models
11. Ontologies, Vocabularies and Data Models
12. Grouped Knowledge Elements
13. Infobuttons and Point of Care Access to Knowledge
14. Information visualization and integrated information display
15. The Role of Standards
16. Population Analytics and Decision Support
17. Expanded sources for Precision Medicine
18. Knowledge Resources

SECTION IV ADOPTION OF CLINICAL DECISION SUPPORT AND OTHER MODES OF KNOWLEDGE ENHANCEMENT
19. Cognitive Considerations for Health Information Technology
20. CDS Implementation and Governance
21. Managing the Investment in Clinical Decision Support
22. Evaluation of Clinical Decision Support
23. Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery
24. Patient-Centered Clinical Decision Support
25. CDS and health disparities
26. Population health management
27. CDS for Public Health

SECTION V THE JOURNEY TO A KNOWLEDGE-ENHANCED HEALTH AND HEALTH CARE SYSTEM
28. Clinical Knowledge Management
29. Integration of Knowledge Resources: Architectures
30. Getting to Knowledge-Enhanced Health and Healthcare

• Presents an overview and details of the current state of the art and usefulness of clinical decision support, and how to utilize these capabilities
• Brings technological underpinnings for providing CDS and best solutions for most common challenges
• Discusses prospects for expanding of CDS methods, scope, and means of integration into the care process