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.
1. Clinical Decision Support and Beyond - p. i 2. Cover - p. i 3. Title Page - p. i 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Contributors - p. xi 7. Preface to the third edition, 2023 - p. xv 8. Preface to the second edition, 2014 - p. xix 9. Preface to the first edition, 2007 - p. xxi 10. Chapter 1 Definition, purposes, and scope - p. 3 11. Chapter 2 Clinical decision support methods - p. 53 12. Chapter 3 The journey to broad adoption - p. 91 13. Chapter 4 The role of quality measurement and reporting feedback as a driver for care improvement - p. 123 14. Chapter 5 International dimensions of clinical decision support systems - p. 145 15. Chapter 6 Human-intensive techniques - p. 191 16. Chapter 7 Data-driven approaches to generating knowledge: Machine learning, artificial intelligence, and predictive modeling - p. 217 17. Chapter 8 Modernizing evidence synthesis for evidence-based medicine - p. 257 18. Chapter 9 Decision rules and expressions - p. 281 19. Chapter 10 Guidelines and workflow models - p. 309 20. Chapter 11 Terminologies, ontologies and data models - p. 349 21. Chapter 12 Grouped knowledge elements - p. 383 22. Chapter 13 Infobuttons and point of care access to knowledge - p. 403 23. Chapter 14 Information visualization and integration - p. 435 24. Chapter 15 The role of standards: What we can expect and when - p. 465 25. Chapter 16 Population analytics and decision support - p. 479 26. Chapter 17 Expanded sources for precision medicine - p. 493 27. Chapter 18 Knowledge resources - p. 529 28. Chapter 19 Cognitive considerations for health information technology in clinical team environments - p. 539 29. Chapter 20 Governance and implementation - p. 561 30. Chapter 21 Managing the investment in clinical decision support - p. 603 31. Chapter 22 Evaluation of clinical decision support - p. 627 32. Chapter 23 Legal and regulatory issues related to the use of clinical software in healthcare delivery - p. 651 33. Chapter 24 The promise of patient-directed decision support - p. 693 34. Chapter 25 Clinical decision support and health disparities - p. 707 35. Chapter 26 Population health management - p. 715 36. Chapter 27 CDS for public health - p. 727 37. Chapter 28 Clinical knowledge management program - p. 749 38. Chapter 29 Integration of knowledge resources into applications to enable CDS: Architectural considerations - p. 789 39. Chapter 30 Getting to knowledge-enhanced health and healthcare - p. 811 40. Index - p. 833 41. Index - continued - p. 846
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.
1. Clinical Decision Support and Beyond - p. i 2. Cover - p. i 3. Title Page - p. i 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Contributors - p. xi 7. Preface to the third edition, 2023 - p. xv 8. Preface to the second edition, 2014 - p. xix 9. Preface to the first edition, 2007 - p. xxi 10. Chapter 1 Definition, purposes, and scope - p. 3 11. Chapter 2 Clinical decision support methods - p. 53 12. Chapter 3 The journey to broad adoption - p. 91 13. Chapter 4 The role of quality measurement and reporting feedback as a driver for care improvement - p. 123 14. Chapter 5 International dimensions of clinical decision support systems - p. 145 15. Chapter 6 Human-intensive techniques - p. 191 16. Chapter 7 Data-driven approaches to generating knowledge: Machine learning, artificial intelligence, and predictive modeling - p. 217 17. Chapter 8 Modernizing evidence synthesis for evidence-based medicine - p. 257 18. Chapter 9 Decision rules and expressions - p. 281 19. Chapter 10 Guidelines and workflow models - p. 309 20. Chapter 11 Terminologies, ontologies and data models - p. 349 21. Chapter 12 Grouped knowledge elements - p. 383 22. Chapter 13 Infobuttons and point of care access to knowledge - p. 403 23. Chapter 14 Information visualization and integration - p. 435 24. Chapter 15 The role of standards: What we can expect and when - p. 465 25. Chapter 16 Population analytics and decision support - p. 479 26. Chapter 17 Expanded sources for precision medicine - p. 493 27. Chapter 18 Knowledge resources - p. 529 28. Chapter 19 Cognitive considerations for health information technology in clinical team environments - p. 539 29. Chapter 20 Governance and implementation - p. 561 30. Chapter 21 Managing the investment in clinical decision support - p. 603 31. Chapter 22 Evaluation of clinical decision support - p. 627 32. Chapter 23 Legal and regulatory issues related to the use of clinical software in healthcare delivery - p. 651 33. Chapter 24 The promise of patient-directed decision support - p. 693 34. Chapter 25 Clinical decision support and health disparities - p. 707 35. Chapter 26 Population health management - p. 715 36. Chapter 27 CDS for public health - p. 727 37. Chapter 28 Clinical knowledge management program - p. 749 38. Chapter 29 Integration of knowledge resources into applications to enable CDS: Architectural considerations - p. 789 39. Chapter 30 Getting to knowledge-enhanced health and healthcare - p. 811 40. Index - p. 833 41. Index - continued - p. 846
