Main description:

Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, now in its third edition, discusses the underpinnings of effective, reliable, and easy-to-use clinical decision support systems at the point of care as a productive way of managing the flood of data, knowledge, and misinformation when providing patient care. Incorporating CDS into electronic health record systems has been underway for decades; however its complexities, costs, and user resistance have lagged its potential. Thus it is of utmost importance to understand the process in detail, to take full advantage of its capabilities. The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, population health, integration of personal monitoring, and patient-facing CDS. In addition, it discusses population health management, public health CDS and CDS to help reduce health disparities. It is a valuable resource for clinicians, practitioners, students and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support to improve health and wellness and the quality of health care.

Contents:

Preface

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