Document Detail


SNOMED CT's RF2: Is the future bright?
MedLine Citation:
PMID:  21893863     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
SNOMED CT's new RF2 format is said to come with features for better configuration management of the SNOMED vocabulary, thereby accommodating evolving requirements without the need for further fundamental change in the foreseeable future. Although the available documentation is not yet convincing enough to support this claim, the newly introduced Model Component hierarchy and associated reference set mechanism seem to hold real promise of being able to deal successfully with a number of ontological issues that have been discussed in the recent literature. Backed up by a study of the old and new format and of the relevant literature and documentation, three recommendations are presented that would free SNOMED CT from use-mention confusions, unclear referencing of real-world entities and uninformative reasons for change in a way that does not force SNOMED CT to take a specific philosophical or ontological position.
Authors:
Werner Ceusters
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  169     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2011  
Date Detail:
Created Date:  2011-09-06     Completed Date:  2011-12-13     Revised Date:  2012-05-04    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  829-33     Citation Subset:  T    
Affiliation:
New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY 14204, USA. ceusters@buffalo.edu
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MeSH Terms
Descriptor/Qualifier:
Humans
Knowledge Bases
Medical Informatics / trends*
Medical Records Systems, Computerized / classification*
Semantics
Software
Systematized Nomenclature of Medicine*
Systems Integration
Vocabulary, Controlled
Grant Support
ID/Acronym/Agency:
R01 DE021917/DE/NIDCR NIH HHS; R21LM009824/LM/NLM NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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