@inproceedings{4f560f203eae4620aaf8556a5bf382bc,
title = "Semantic Alignment between ICD-11 and SNOMED CT",
abstract = "Due to fundamental differences in design and editorial policies, semantic interoperability between two de facto standard terminologies in the healthcare domain-the International Classification of Diseases (ICD) and SNOMED CT (SCT), requires combining two different approaches: (i) axiom-based, which states logically what is universally true, using an ontology language such as OWL; (ii) rule-based, expressed as queries on the axiom-based knowledge. We present the ICD-SCT harmonization process including: a) a new architecture for ICD-11, b) a protocol for the semantic alignment of ICD and SCT, and c) preliminary results of the alignment applied to more than half the domain currently covered by the draft ICD-11.",
keywords = "Classification, ICD, Ontology, SNOMED CT, Standards, Terminology",
author = "Rodrigues, {Jean Marie} and David Robinson and {Della Mea}, Vincenzo and James Campbell and Alan Rector and Stefan Schulz and Hazel Brear and Bedirhan {\"U}st{\"u}n and Kent Spackman and Chute, {Christopher G.} and Jane Millar and Harold Solbrig and {Brand Persson}, Kristina",
note = "Publisher Copyright: {\textcopyright} 2015 IMIA and IOS Press.; 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 ; Conference date: 19-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.3233/978-1-61499-564-7-790",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "790--794",
editor = "Andrew Georgiou and Sarkar, {Indra Neil} and {de Azevedo Marques}, {Paulo Mazzoncini}",
booktitle = "MEDINFO 2015",
}