Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare

Clinical Decision Support: 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 their potential though, thus it is of utmost importance to understand the process in details 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 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 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 INDICE: SECTION I COMPUTER-BASED CLINICAL DECISION SUPPORT: OVERVIEW, STATUS, AND CHALLENGES1. Definition, Scope, and Challenges2. A Brief History of Clinical Decision Support3. Features of Computer-Based Clinical Decision Support4. The Role of Quality Measurement and Reporting Feedback as a Driver for Care Improvement5. International Dimensions of Clinical Decision Support6. Current State of CDS UtilizationSECTION II SOURCES OF KNOWLEDGE FOR CLINICAL DECISION SUPPORT7. Human-Intensive Techniques8. Data-driven approaches to generating knowledge: machine learning, artificial intelligence, and predictive modelling9. Modernizing Evidence Synthesis for Evidence-Based Medicine10. Population Analytics and Decision Support11. Clinical Decision Support for Personalized MedicineSECTION IV THE TECHNOLOGY OF CLINICAL DECISION SUPPORT12. Decision Rules and Expressions13. Guidelines and Workflow Models14. Ontologies, Vocabularies and Data Models15. Grouped Knowledge Elements16. Infobuttons and Point of Care Access to Knowledge17. The Role of StandardsSECTION V ADOPTION OF CLINICAL DECISION SUPPORT18. Cognitive Considerations for Health Information Technology19. CDS Implementation and Governance20. Managing the Investment in Clinical Decision Support21. Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery22. Patient-Centered Clinical Decision Support23. CDS and health disparities24. Population health management25. CDS for Public HealthSECTION VI THE JOURNEY TO WIDESPREAD USE OF CLINICAL DECISION SUPPORT26. Clinical Knowledge Management27. Integration of Knowledge Resources into Applications to Enable CDS28. Looking Ahead: The Next Generation

• ISBN: 978-0-323-91200-6
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 1000
• Fecha Publicación: 01/08/2022
• Nº Volúmenes: 1
• Idioma: Inglés