Document Detail


Turf wars in radiology: training in diagnostic imaging: how much is enough?
MedLine Citation:
PMID:  17411985     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Although many medical organizations have issued training standards for various types of diagnostic imaging, these standards tend to be arbitrary and may not adequately address the question of how much training is necessary or sufficient. In this article, the authors review the evidence pertaining to this question, which shows that acquiring expertise in imaging is a lifelong process and that there may never be such a thing as "enough" training. It is therefore likely that even though some nonradiologist physicians may meet the standards developed by some organizations, they will not have achieved the expertise that comes with long years of experience or subspecialty training in imaging. Payers and hospital credentials committees have a responsibility to patients to try to help reduce medical errors by ensuring that only those physicians who are best trained and most experienced are allowed to perform and interpret imaging studies.
Authors:
Vijay M Rao; David C Levin
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of the American College of Radiology : JACR     Volume:  2     ISSN:  1558-349X     ISO Abbreviation:  J Am Coll Radiol     Publication Date:  2005 Dec 
Date Detail:
Created Date:  2007-04-06     Completed Date:  2007-07-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101190326     Medline TA:  J Am Coll Radiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1016-8     Citation Subset:  IM    
Affiliation:
Department of Radiology, Thomas Jefferson University Hospital and Jefferson Medical College, Philadelphia, PA 19107, USA. vijay.rao@jefferson.edu
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MeSH Terms
Descriptor/Qualifier:
Diagnostic Imaging / statistics & numerical data*
Education, Medical, Graduate / statistics & numerical data*
Humans
Radiology / education*,  standards,  statistics & numerical data

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