B. Trombert-paviot et al., GALEN: a third generation terminology tool to support a multipurpose national coding system for surgical procedures, INT J MED I, 58, 2000, pp. 71-85
Citations number
13
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology",Multidisciplinary
Generalised architecture for languages, encyclopaedias and nomenclatures in
medicine (GALEN) has developed a new generation of terminology tools based
on a language independent model describing the semantics and allowing comp
uter processing and multiple reuses as well as natural language understandi
ng systems applications to facilitate the sharing and maintaining of consis
tent medical knowledge. During the European Union 4 Th. framework program p
roject GALEN-IN-USE and later on within two contracts with the national hea
lth authorities we applied the modelling and the tools to the development o
f a new multipurpose coding system for surgical procedures named CCAM in a
minority language country, France. On one hand, we contributed to a languag
e independent knowledge repository and multilingual semantic dictionaries f
or multicultural Europe. On the other hand, we support the traditional proc
ess for creating a new coding system in medicine which is very much labour
consuming by artificial intelligence tools using a medically oriented recur
sive ontology and natural language processing. We used an integrated softwa
re named CLAW (for classification workbench) to process French professional
medical language rubrics produced by the national colleges of surgeons dom
ain experts into intermediate dissections and to the Grail reference ontolo
gy model representation. From this language independent concept model repre
sentation, on one hand, we generate with the LNAT natural language generato
r controlled French natural language to support the finalisation of the lin
guistic labels (first generation) in relation with the meanings of the conc
eptual 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 sem
antic structured representation (third generation) bridge to the electronic
patient record detailed terminology. (C) 2000 Elsevier Science Ireland Ltd
. All rights reserved.