Galen-In-Use: using artificial intelligence terminology tools to improve the linguistic coherence of a national coding system for surgical procedures.
GALEN has developed a language independent common reference model based on a medically oriented ontology and practical tools and techniques for managing healthcare terminology including natural language processing. GALEN-IN-USE is the current phase which applied the modelling and the tools to the development or the updating of coding systems for surgical procedures in different national coding centers co-operating within the European Federation of Coding Centre (EFCC) to create a language independent knowledge repository for multicultural Europe. We used an integrated set of artificial intelligence terminology tools named CLAssification Manager workbench to process French professional medical language rubrics into intermediate dissections and to the Grail reference ontology model representation. From this language independent concept model representation we generate controlled French natural language. The French national coding centre is then able to retrieve the initial professional rubrics with different categories of concepts, to compare the professional language proposed by expert clinicians to the French generated controlled vocabulary and to finalize the linguistic labels of the coding system in relation with the meanings of the conceptual system structure.
Rodrigues
J M
JM
Department of Public Health and Medical Informatics University of Saint Etienne Jean Monnet, France. rodrigues@univ-st-etienne.fr
Trombert-Paviot
B
B
Baud
R
R
Wagner
J
J
Meusnier-Carriot
F
F
D001185:Artificial Intelligence; D006801:Humans; D007802:Language; D008037:Linguistics; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D013514:Surgical Procedures, Operative / Q000145:classification*; D009626:Terminology as Topic; D014572:Urology / Q000145:classification; D018875:Vocabulary, Controlled