title: Auditing of SNOMED CT's Hierarchical Structure using the National Drug File - Reference Terminology.
abstract: With the ongoing development in the field of Medical Informatics, the availability of cross-references and the consistency of coverage between terminologies become critical requirements for clinical decision support. In this paper, we examine the possibility of developing a framework that highlights and exposes hierarchical incompatibilities between different medical terminologies in order to facilitate the process of achieving a sufficient level of consistency between terminologies. For the purpose of this research, we are working with the Systematized Nomenclature of Medicine--Clinical Terms (SNOMED CT) and the National Drug File--Reference Terminology (NDF-RT)--a clinical terminology focused on drugs. For discovery of inconsistencies we built an automated tool.
authors.affiliation: New Jersey Institute of Technology, Newark, NJ.
authors.forename: Aleksandr
authors.initials: A
authors.lastname: Zakharchenko
authors.affiliation: New Jersey Institute of Technology, Newark, NJ.
authors.forename: James
authors.initials: J
authors.lastname: Geller
mesh_terms: D062313:Databases, Pharmaceutical / Q000592:standards*; D000069550:Machine Learning; D008485:Medical Audit / Q000458:organization & administration*; D009323:Natural Language Processing; D004364:Pharmaceutical Preparations / Q000145:classification*; D011785:Quality Assurance, Health Care / Q000592:standards*; D012016:Reference Values; D012660:Semantics; D039061:Systematized Nomenclature of Medicine; D009626:Terminology as Topic; D014481:United States
chemical_list: D004364:Pharmaceutical Preparations