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Clinical Decision Support Systems: Theory and Practice (Health Informatics)


by Eta S. Berner

List Price: $79.95
Price: $63.96
You Save: $15.99 (20%)
Available: Usually ships in 24 hours
Sales Rank: 522895
Studio: Springer
Binding: Hardcover
Number Of Pages: 274
Publication Date: November 14, 2006
Publisher: Springer


ACCESSORIES

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Fundamentals of Clinical Research: Bridging Medicine, Statistics and Operations (Statistics for Biology and Health)
by Antonella Bacchieri, Giovanni Della Cioppa

Patient Flow: Reducing Delay in Healthcare Delivery (International Series in Operations Research & Management Science)
by Randolph W. Hall



EDITORIAL REVIEWS

Product Description
This book is designed to be 1) a resource book on clinical decision support systems for informatics specialists; 2) a textbook for teachers or students in health informatics or medical informatics training programs; and 3) a comprehensive introduction for clinicians, with or without expertise in the applications of computers in medicine, who are interested in learning about current developments in computer-based diagnostic systems. In recent years, it has become obvious that other health professionals, in addition to physicians, have needs for decision support and that the issues raised in this book apply to a broad range of clinicians. The book includes chapters by nationally and internationally recognized experts on the design, evaluation and application of these systems who examine the impact of practitioner and patient use of computer-based diagnostic tools.


SIMILAR PRODUCTS

Clinical Decision Support: The Road Ahead
by Robert A. Greenes

Decision Analysis for Healthcare Managers
by Farrokh Alemi and David H. Gustafson

Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics)
by Edward H. Shortliffe, James J. Cimino

Medical Informatics: Knowledge Management and Data Mining in Biomedicine (Integrated Series in Information Systems)
by Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, William Hersh

How Doctors Think
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