A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination.
Post-coordination provides the means to achieve an appropriate content coverage, which is critical in successfully adopting clinical reference terminologies, and thus represent clinical information consistently. However, one of the major problems of post-coordination corresponds with ensuring only clinically sensible concepts can be constructed. In this poster, we present the development of a novel approach to generate a MRCM computationally, in order to facilitate the adherence to the existing guidelines and improve the quality of post-coordination in SNOMED CT.
Clínica Alemana de Santiago, Universidad del Desarrollo, Facultad de Medicina Clínica Alemana, Santiago, Chile.
Marcelo
M
Lopetegui
Clínica Alemana de Santiago, Universidad del Desarrollo, Facultad de Medicina Clínica Alemana, Santiago, Chile.
Alejandro
A
Mauro
D000068598:Data Accuracy; D019983:Guideline Adherence / Q000592:standards*; D017408:Guidelines as Topic; D038622:Internationality; D000069550:Machine Learning; D009323:Natural Language Processing; D039061:Systematized Nomenclature of Medicine