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Overview of ICD-11 architecture and structure
BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization has now explored how the ICD could be revised to le...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109286/ https://www.ncbi.nlm.nih.gov/pubmed/35578335 http://dx.doi.org/10.1186/s12911-021-01539-1 |
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author | Chute, Christopher G. Çelik, Can |
author_facet | Chute, Christopher G. Çelik, Can |
author_sort | Chute, Christopher G. |
collection | PubMed |
description | BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization has now explored how the ICD could be revised to leverage the advances in computer science, ontology, and knowledge representation that had accelerated in the twentieth and early twenty-first centuries. METHODS: Many teams of clinical specialists and domain leaders worked to fundamentally revise the science and knowledge base of ICD-11. Development of the ICD-11 architecturally was a fundamental revision. The architecture for ICD-11 proposed in 2007 included three layers: a semantic network of biomedical concepts (Foundation), a traditional tabulation of hierarchical codes that would derive from that network (Linearization), and a formal ontology that would anchor the meaning of terms in the semantic network. Additionally, each entry in the semantic network would have an associated information model of required and optional content (Content Model). RESULTS: This paper describes the innovative architecture developed for ICD-11. CONCLUSION: ICD11 is a revolutionary transformation of a century long medical classification that retains is historical rendering and interface while expanding the opportunity for multiple linearization and underpinning its content with a formally constructed semantic network. The new artifact can enable modern data science and analyses with content encoded with ICD11. |
format | Online Article Text |
id | pubmed-9109286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91092862022-05-17 Overview of ICD-11 architecture and structure Chute, Christopher G. Çelik, Can BMC Med Inform Decis Mak Review BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization has now explored how the ICD could be revised to leverage the advances in computer science, ontology, and knowledge representation that had accelerated in the twentieth and early twenty-first centuries. METHODS: Many teams of clinical specialists and domain leaders worked to fundamentally revise the science and knowledge base of ICD-11. Development of the ICD-11 architecturally was a fundamental revision. The architecture for ICD-11 proposed in 2007 included three layers: a semantic network of biomedical concepts (Foundation), a traditional tabulation of hierarchical codes that would derive from that network (Linearization), and a formal ontology that would anchor the meaning of terms in the semantic network. Additionally, each entry in the semantic network would have an associated information model of required and optional content (Content Model). RESULTS: This paper describes the innovative architecture developed for ICD-11. CONCLUSION: ICD11 is a revolutionary transformation of a century long medical classification that retains is historical rendering and interface while expanding the opportunity for multiple linearization and underpinning its content with a formally constructed semantic network. The new artifact can enable modern data science and analyses with content encoded with ICD11. BioMed Central 2022-05-16 /pmc/articles/PMC9109286/ /pubmed/35578335 http://dx.doi.org/10.1186/s12911-021-01539-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Chute, Christopher G. Çelik, Can Overview of ICD-11 architecture and structure |
title | Overview of ICD-11 architecture and structure |
title_full | Overview of ICD-11 architecture and structure |
title_fullStr | Overview of ICD-11 architecture and structure |
title_full_unstemmed | Overview of ICD-11 architecture and structure |
title_short | Overview of ICD-11 architecture and structure |
title_sort | overview of icd-11 architecture and structure |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109286/ https://www.ncbi.nlm.nih.gov/pubmed/35578335 http://dx.doi.org/10.1186/s12911-021-01539-1 |
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