title: ICD-11 and SNOMED CT Common Ontology: circulatory system.
abstract: The improvement of semantic interoperability between data in electronic health records and aggregated data for health statistics requires efforts to carefully align the two domain terminologies ICD and SNOMED CT. Both represent a new generation of ontology-based terminologies and classifications. The proposed alignment of these two systems and, in consequence, the validity of their cross-utilisation, requires a specific resource, named Common Ontology. We present the ICD-11 SNOMED CT Common Ontology building process including: a) the principles proposed for aligning the two systems with the help of a common model of meaning, b) the design of this common ontology, and c) preliminary results of the application to the diseases of the circulatory system.
authors.affiliation: INSERM U1142, LIMICS, Paris, France.
authors.forename: Jean-Marie
authors.initials: JM
authors.lastname: Rodrigues
authors.affiliation: IMI, Medical University of Graz, Austria.
authors.forename: Stefan
authors.initials: S
authors.lastname: Schulz
authors.affiliation: University of Manchester, UK.
authors.forename: Alan
authors.initials: A
authors.lastname: Rector
authors.affiliation: Intl Health Terminology Standards Development Organisation, Copenhagen.
authors.forename: Kent
authors.initials: K
authors.lastname: Spackman
authors.affiliation: Intl Health Terminology Standards Development Organisation, Copenhagen.
authors.forename: Jane
authors.initials: J
authors.lastname: Millar
authors.affiliation: University of Nebraska Medical Center Omaha USA.
authors.forename: James
authors.initials: J
authors.lastname: Campbell
authors.affiliation: World Health Organization, Geneva, Switzerland.
authors.forename: Bedirhan
authors.initials: B
authors.lastname: Ustün
authors.affiliation: Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Chute
authors.affiliation: Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
authors.forename: Harold
authors.initials: H
authors.lastname: Solbrig
authors.affiliation: Department of Mathematics and Computer Science, University of Udine, Italy.
authors.forename: Vincenzo
authors.initials: V
authors.lastname: Della Mea
authors.affiliation: National Board of Health and Welfare, Stockholm, Sweden.
authors.forename: Kristina Brand
authors.initials: KB
authors.lastname: Persson
mesh_terms: D001185:Artificial Intelligence; D002318:Cardiovascular Diseases / Q000145:classification*; D006801:Humans; D016247:Information Storage and Retrieval / Q000592:standards*; D038801:International Classification of Diseases / Q000592:standards*; D009323:Natural Language Processing; D017410:Practice Guidelines as Topic; D012660:Semantics; D039061:Systematized Nomenclature of Medicine; D014175:Translating; D018875:Vocabulary, Controlled