Clinical Decision Support
The Road Ahead
Published on 28. April 2011
544 pages
978-0-08-046769-6 (ISBN)
Description
This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizational, technical, and business challenges in order to successfully implement a computer-aided decision-making support system in healthcare delivery.
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03/2014
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12/2006
Academic Press
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Content
I: Computer-based clinical decision support: Concepts and origins
Chapter 1: Definition, scope, and challenges
Chapter 2: A Brief history of clinical decision support
Chapter 3: Features of computer-based clinical decision support
II: Case studies and current status
Chapter 4: Regenstrief medical informatics
Chapter 5: Patients, doctors, and information technology
Chapter 6: Case studies in clinical decision support
Chapter 7: Penetration and availability of clinical decision support in commercial systems
Chapter 8: Lessons learned
III: Generation and formulation of knowledge
Chapter 9: Human-Intensive techniques
Chapter 10: Generation of knowledge for clinical decision support
Chapter 11: Evidence-based medicine and meta-analysis
IV: Representing the knowledge
Chapter 12: Decision rules and expressions
Chapter 13: Guidelines and workflow models
Chapter 14: Ontologies, vocabularies, and data models
Chapter 15: Grouped knowledge elements
Chapter 16: Infobuttons and point of care access to knowledge
Chapter 17: The role of standards
V: Organizational, business, and social challenges
Chapter 18: Organizational and cultural change considerations
Chapter 19: Managing the investment in clinical decision support
Chapter 20: Legal and regulatory issues related to the use of clinical software in health care delivery
VI: Knowledge management approaches
Chapter 21: Knowledge management infrastructure
Chapter 22: The clinical knowledge management infrastructure of intermountain healthcare
Chapter 23: Integration of knowledge resources into applications to enable clinical decision support
VII: The road ahead
Chapter 24: A proposed strategy for overcoming inertia
Index
