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Sequential Mapping – A Novel Approach to Map from ICD-10-CM to ICD-11
BACKGROUND: ICD-11 will be used to report mortality statistics by WHO member countries starting in 2022. In the US, ICD-10-CM will likely continue to be used for morbidity coding for a long period of time. A map between ICD-10-CM and ICD-11 will therefore be useful for interoperability purpose betwe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491349/ https://www.ncbi.nlm.nih.gov/pubmed/35672978 http://dx.doi.org/10.3233/SHTI220039 |
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author | Xu, Julia Fung, Kin Wah Bodenreider, Olivier |
author_facet | Xu, Julia Fung, Kin Wah Bodenreider, Olivier |
author_sort | Xu, Julia |
collection | PubMed |
description | BACKGROUND: ICD-11 will be used to report mortality statistics by WHO member countries starting in 2022. In the US, ICD-10-CM will likely continue to be used for morbidity coding for a long period of time. A map between ICD-10-CM and ICD-11 will therefore be useful for interoperability purpose between datasets coded with ICD-10-CM and ICD-11. OBJECTIVES: The objective of this study is to explore novel approaches to automatically derive a map between ICD-10-CM and ICD-11 through the sequential use of existing maps. METHODS AND RESULTS: Sequential mapping through ICD-10 yielded better coverage and accuracy compared to mapping through SNOMED CT. CONCLUSIONS: Sequential mapping is useful in automatically creating a draft map from ICD-10-CM to ICD-11 and would reduce manual curation efforts in creating the final map. The various approaches offer different trade-offs among coverage, recall and precision. |
format | Online Article Text |
id | pubmed-9491349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-94913492022-09-21 Sequential Mapping – A Novel Approach to Map from ICD-10-CM to ICD-11 Xu, Julia Fung, Kin Wah Bodenreider, Olivier Stud Health Technol Inform Article BACKGROUND: ICD-11 will be used to report mortality statistics by WHO member countries starting in 2022. In the US, ICD-10-CM will likely continue to be used for morbidity coding for a long period of time. A map between ICD-10-CM and ICD-11 will therefore be useful for interoperability purpose between datasets coded with ICD-10-CM and ICD-11. OBJECTIVES: The objective of this study is to explore novel approaches to automatically derive a map between ICD-10-CM and ICD-11 through the sequential use of existing maps. METHODS AND RESULTS: Sequential mapping through ICD-10 yielded better coverage and accuracy compared to mapping through SNOMED CT. CONCLUSIONS: Sequential mapping is useful in automatically creating a draft map from ICD-10-CM to ICD-11 and would reduce manual curation efforts in creating the final map. The various approaches offer different trade-offs among coverage, recall and precision. 2022-06-06 /pmc/articles/PMC9491349/ /pubmed/35672978 http://dx.doi.org/10.3233/SHTI220039 Text en https://creativecommons.org/licenses/by-nc/4.0/This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). |
spellingShingle | Article Xu, Julia Fung, Kin Wah Bodenreider, Olivier Sequential Mapping – A Novel Approach to Map from ICD-10-CM to ICD-11 |
title | Sequential Mapping – A Novel Approach to Map from ICD-10-CM to ICD-11 |
title_full | Sequential Mapping – A Novel Approach to Map from ICD-10-CM to ICD-11 |
title_fullStr | Sequential Mapping – A Novel Approach to Map from ICD-10-CM to ICD-11 |
title_full_unstemmed | Sequential Mapping – A Novel Approach to Map from ICD-10-CM to ICD-11 |
title_short | Sequential Mapping – A Novel Approach to Map from ICD-10-CM to ICD-11 |
title_sort | sequential mapping – a novel approach to map from icd-10-cm to icd-11 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491349/ https://www.ncbi.nlm.nih.gov/pubmed/35672978 http://dx.doi.org/10.3233/SHTI220039 |
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