Clinical Decision Support
The Road Ahead
Published on 18. December 2006
Book
Hardback
544 pages
978-0-12-369377-8 (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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Health care professionals, medical informatics researchers and students, policy makers, IT development managers, and various clinical investigators
Illustrations
Approx. 120 illustrations (50 in full color)
Dimensions
Height: 260 mm
Width: 184 mm
Weight
1490 gr
ISBN-13
978-0-12-369377-8 (9780123693778)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
06/2014
2nd Edition
Academic Press
€121.32
Shipment within 15-20 days
Additional editions
E-Book
04/2011
Academic Press
€90.95
Available for download
Book
12/2006
Academic Press
€137.99
Article exhausted; check for reprint
Person
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.
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
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