Document Detail


From data to knowledge through concept-oriented terminologies: experience with the Medical Entities Dictionary.
MedLine Citation:
PMID:  10833166     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Knowledge representation involves enumeration of conceptual symbols and arrangement of these symbols into some meaningful structure. Medical knowledge representation has traditionally focused more on the structure than the symbols. Several significant efforts are under way, at local, national, and international levels, to address the representation of the symbols though the creation of high-quality terminologies that are themselves knowledge based. This paper reviews these efforts, including the Medical Entities Dictionary (MED) in use at Columbia University and the New York Presbyterian Hospital. A decade's experience with the MED is summarized to serve as a proof-of-concept that knowledge-based terminologies can support the use of coded patient data for a variety of knowledge-based activities, including the improved understanding of patient data, the access of information sources relevant to specific patient care problems, the application of expert systems directly to the care of patients, and the discovery of new medical knowledge. The terminological knowledge in the MED has also been used successfully to support clinical application development and maintenance, including that of the MED itself. On the basis of this experience, current efforts to create standard knowledge-based terminologies appear to be justified.
Authors:
J J Cimino
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of the American Medical Informatics Association : JAMIA     Volume:  7     ISSN:  1067-5027     ISO Abbreviation:  J Am Med Inform Assoc     Publication Date:    2000 May-Jun
Date Detail:
Created Date:  2000-06-08     Completed Date:  2000-06-08     Revised Date:  2013-04-17    
Medline Journal Info:
Nlm Unique ID:  9430800     Medline TA:  J Am Med Inform Assoc     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  288-97     Citation Subset:  IM    
Affiliation:
Columbia University, College of Physicians and Surgeons, New York, New York, USA. ciminoj@flux.cpmc.columbia.edu
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence*
Decision Support Systems, Clinical
Dictionaries, Medical*
Information Storage and Retrieval
Medical Records Systems, Computerized
Terminology as Topic*
Unified Medical Language System
Vocabulary, Controlled
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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