Clinical Decision Support and Beyond

Robert Greenes, MD, PhD, holds an MD and a PhD in Computer Science from Harvard. Dr Greenes is an expert in health care information technology/informatics and has made contributions to the field over many years, initially at Harvard and more recently at Arizona State University in partnership with Mayo Clinic. His passion is the use of information technology in health care to make "the right thing the easy thing to do". He is Ira A. Fulton Chair of Biomedical Informatics at the ASU,  a member of the National Academy of Medicine and of the International Academy of Health Sciences Informatics, and a Fellow of the American College of Radiology, American College of Medical Informatics, and the Society for Imaging Informatics in Medicine.  He was the 2008 recipient of the Morris F. Collen Award for lifetime impact on the field of biomedical informatics, from the American College of Medical Informatics. Guilherme Del Fiol, MD, PhD, earned his MD from the University of Sao Paulo, Brazil; his MS in Computer Science from the Catholic University of Parana, Brazil; and his PhD in Biomedical Informatics from the University of Utah. He is currently Professor and Vice-Chair of Research in the University of Utah’s Department of Biomedical Informatics. Prior to the University of Utah, Dr. Del Fiol held positions in Clinical Knowledge Management at Intermountain Healthcare and as faculty at the Duke Community and Family Medicine Department. Since 2008, he has served as an elected co-chair of the Clinical Decision Support Work Group at Health Level International (HL7). He is also an elected Fellow of the American College of Medical Informatics (ACMI) and a member of the?Comprehensive Cancer Center at Huntsman Cancer Institute. His research interests are in the investigation of standards-based clinical decision support and digital health interventions.

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