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Sequential Mapping - A Novel Approach to Map from ICD-10-CM to ICD-11.
Xu, Julia; Fung, Kin Wah; Bodenreider, Olivier.
Afiliación
  • Xu J; National Library of Medicine, National Institutes of Health, USA.
  • Fung KW; National Library of Medicine, National Institutes of Health, USA.
  • Bodenreider O; National Library of Medicine, National Institutes of Health, USA.
Stud Health Technol Inform ; 290: 96-100, 2022 Jun 06.
Article en En | MEDLINE | ID: mdl-35672978
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clasificación Internacional de Enfermedades / Systematized Nomenclature of Medicine Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clasificación Internacional de Enfermedades / Systematized Nomenclature of Medicine Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos