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Knowledge Coupling: New Premises and New Tools for Medical Care and Education
     

Knowledge Coupling: New Premises and New Tools for Medical Care and Education

by Lawrence L. Weed, L.M. Abbey (Contribution by), K.A. Bartholomew (Contribution by), C.S. Burger (Contribution by), H.D. Cross (Contribution by)
 

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Knowledge Coupling discusses the premises upon which the coupling of knowledge to every action is based in the practice of medicine, as well as why these premises must change. In concrete terms, the volume explores the methods of structuring and using medical knowledge and medical records that enables implementation of new premises; it sets forth a specific

Overview

Knowledge Coupling discusses the premises upon which the coupling of knowledge to every action is based in the practice of medicine, as well as why these premises must change. In concrete terms, the volume explores the methods of structuring and using medical knowledge and medical records that enables implementation of new premises; it sets forth a specific approach to use of the computer. The work examines the new roles and skills that will be demanded of both patients and health care providers within the system based on these new premises. The author takes into account the broad implications of his philosophy for the social, economic, educational, and political structuring of the health care system.

Editorial Reviews

Booknews
The vision is Weed's, but he is joined by a number of contributors who write under the premise that caregivers are constantly trying to make decisions in the face of avoidable ignorance. This book offers a new set of tools--knowledge couplers--to initiate change in current healthcare philosophy and methodologies. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9781461278153
Publisher:
Springer New York
Publication date:
07/31/2012
Series:
Health Informatics Series
Edition description:
Softcover reprint of the original 1st ed. 1991
Pages:
362
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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