Clinical Decision Support and Beyond

Robert Greenes , Guilherme Del Fiol 지음

Elsevier 2023년 02월 10일 출간

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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. Presents an overview and details of the current state of the art and usefulness of clinical decision support, and how to utilize these capabilities Explores the technological underpinnings for developing, managing, and sharing knowledge resources and deploying them as CDS or for other uses Discusses the current drivers and opportunities that are expanding the prospects for use of knowledge to enhance health and healthcare

목차

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

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저자(글) Robert Greenes

저자(글) Guilherme Del Fiol