Document Detail


GALEN: a third generation terminology tool to support a multipurpose national coding system for surgical procedures.
MedLine Citation:
PMID:  10978911     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Generalised architecture for languages, encyclopedia and nomenclatures in medicine (GALEN) has developed a new generation of terminology tools based on a language independent model describing the semantics and allowing computer processing and multiple reuses as well as natural language understanding systems applications to facilitate the sharing and maintaining of consistent medical knowledge. During the European Union 4 Th. framework program project GALEN-IN-USE and later on within two contracts with the national health authorities we applied the modelling and the tools to the development of a new multipurpose coding system for surgical procedures named CCAM in a minority language country, France. On one hand, we contributed to a language independent knowledge repository and multilingual semantic dictionaries for multicultural Europe. On the other hand, we support the traditional process for creating a new coding system in medicine which is very much labour consuming by artificial intelligence tools using a medically oriented recursive ontology and natural language processing. We used an integrated software named CLAW (for classification workbench) to process French professional medical language rubrics produced by the national colleges of surgeons domain experts into intermediate dissections and to the Grail reference ontology model representation. From this language independent concept model representation, on one hand, we generate with the LNAT natural language generator controlled French natural language to support the finalization of the linguistic labels (first generation) in relation with the meanings of the conceptual system structure. On the other hand, the Claw classification manager proves to be very powerful to retrieve the initial domain experts rubrics list with different categories of concepts (second generation) within a semantic structured representation (third generation) bridge to the electronic patient record detailed terminology.
Authors:
B Trombert-Paviot; J M Rodrigues; J E Rogers; R Baud; E van der Haring; A M Rassinoux; V Abrial; L Clavel; H Idir
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  International journal of medical informatics     Volume:  58-59     ISSN:  1386-5056     ISO Abbreviation:  Int J Med Inform     Publication Date:  2000 Sep 
Date Detail:
Created Date:  2000-11-29     Completed Date:  2000-11-29     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9711057     Medline TA:  Int J Med Inform     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  71-85     Citation Subset:  IM    
Affiliation:
Department of Public Health and Medical Informatics, Faculté de Médecine, University of Saint Etienne-Jean Monnet, 34, Rue Francis Baulier, 42023 Cedex Saint Etienne, France.
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MeSH Terms
Descriptor/Qualifier:
Abstracting and Indexing as Topic
Artificial Intelligence*
Expert Systems
Humans
Medical Records Systems, Computerized
National Health Programs*
Natural Language Processing
Software
Surgical Procedures, Operative / classification*
Terminology as Topic
Vocabulary, Controlled*

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


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