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Clinical Decision Support
The Road to Broad Adoption
A detailed ‘how-to’ and roadmap on the technology development and successful integration of clinical decision support systems into point-of-care and national regulatory frameworks
Robert Greenes (Edited by)
9780123984760, Elsevier Science
Hardback, published 9 June 2014
930 pages, 150 illustrations (50 in full color)
23.4 x 19 x 4.5 cm, 1.72 kg
With at least 40% new or updated content since the last edition, Clinical Decision Support, 2nd Edition explores the crucial new motivating factors poised to accelerate Clinical Decision Support (CDS) adoption. This book is mostly focused on the US perspective because of initiatives driving EHR adoption, the articulation of 'meaningful use', and new policy attention in process including the Office of the National Coordinator for Health Information Technology (ONC) and the Center for Medicare and Medicaid Services (CMS). A few chapters focus on the broader international perspective. Clinical Decision Support, 2nd Edition explores the technology, sources of knowledge, evolution of successful forms of CDS, and organizational and policy perspectives surrounding CDS. Exploring a roadmap for CDS, with all its efficacy benefits including reduced errors, improved quality, and cost savings, as well as the still substantial roadblocks needed to be overcome by policy-makers, clinicians, and clinical informatics experts, the field is poised anew on the brink of broad adoption. Clinical Decision Support, 2nd Edition provides an updated and pragmatic view of the methodological processes and implementation considerations. This book also considers advanced technologies and architectures, standards, and cooperative activities needed on a societal basis for truly large-scale adoption.
SECTION I: COMPUTER-BASED CLINICAL DECISION SUPPORT: OVERVIEW, STATUS, AND CHALLENGES Chapter 1: Definition, Scope, and Challenges Chapter 2: A Brief History of Clinical Decision Support Chapter 3: Features of Computer-Based Clinical Decision Support Chapter 4: The Role of Quality Measurement and Reporting Feedback as a Driver for Care Improvement SECTION II: EXPERIENCE WITH CDS DEVELOPMENT AND ADOPTION: CASE STUDIES, NATIONAL INITIATIVES, AND LESSONS LEARNED Chapter 5: Regenstrief Medical Informatics Chapter 6: Patients, Doctors, and Information Technology Clinical Decision Support at Brigham and Women's Hospital and Partners HealthCare Chapter 7: Computer-Based Approaches to Improving Healthcare Quality and Safety at LDS Hospital Chapter 8: International Dimensions of Clinical Decision Support Chapter 9: Current State of CDS Utilization SECTION III: SOURCES OF KNOWLEDGE FOR CLINICAL DECISION SUPPORT Chapter 10: Human-Intensive Techniques Chapter 11: Generation of Knowledge for Clinical Decision Support Chapter 12: Modernizing Evidence Synthesis for Evidence-Based Medicine Chapter 13: Big Data and Population-Based Decision Support Chapter 14: Clinical Decision Support for Personalized Medicine SECTION IV: THE TECHNOLOGY OF CLINICAL DECISION SUPPORT Chapter 15: Decision Rules and Expressions Chapter 16: Guidelines and Workflow Models Chapter 17: Ontologies, Vocabularies, and Data Models Chapter 18: Grouped Knowledge Elements Chapter 19: Infobuttons and Point of Care Access to Knowledge Chapter 20: Formal Representations and Semantic Web Technologies Chapter 21: The Role of Standards SECTION V: ADOPTION OF CLINICAL DECISION SUPPORT Chapter 22: Cognitive Considerations for Health Information Technology Chapter 23: Organizational and Cultural Change Chapter 24: Managing the Investment in Clinical Decision Support Chapter 25: A Clinical Decision Support Implementation Guide: Practical Considerations Chapter 26: Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery Chapter 27: Consumers and Clinical Decision Support SECTION VI: THE JOURNEY TO WIDESPREAD USE OF CLINICAL DECISION SUPPORT Chapter 28: A Clinical Knowledge Management Program Chapter 29: Integration of Knowledge Resources into Applications to Enable CDS Chapter 30: Looking Ahead: The Road to Broad Adoption
Subject Areas: Data mining [UNF], Life sciences: general issues [PSA], Clinical & internal medicine [MJ], Health systems & services [MBP]
