Mapping 3 procedure coding systems to the International Classification of Health Interventions (ICHI): coverage and challenges.

Canadian Classification of Health Interventions (CCI) ICD-10-PCS International Classification of Health Interventions (ICHI) SNOMED CT controlled medical vocabularies medical terminologies surgical procedures terminology mapping

Journal

Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
Titre abrégé: J Am Med Inform Assoc
Pays: England
ID NLM: 9430800

Informations de publication

Date de publication:
19 05 2023
Historique:
received: 09 12 2022
revised: 22 02 2023
accepted: 04 04 2023
medline: 22 5 2023
pubmed: 14 4 2023
entrez: 13 4 2023
Statut: ppublish

Résumé

To study the coverage and challenges in mapping 3 national and international procedure coding systems to the International Classification of Health Interventions (ICHI). We identified 300 commonly used codes each from SNOMED CT, ICD-10-PCS, and CCI (Canadian Classification of Health Interventions) and mapped them to ICHI. We evaluated the level of match at the ICHI stem code and Foundation Component levels. We used postcoordination (modification of existing codes by adding other codes) to improve matching. Failure analysis was done for cases where full representation was not achieved. We noted and categorized potential problems that we encountered in ICHI, which could affect the accuracy and consistency of mapping. Overall, among the 900 codes from the 3 sources, 286 (31.8%) had full match with ICHI stem codes, 222 (24.7%) had full match with Foundation entities, and 231 (25.7%) had full match with postcoordination. 143 codes (15.9%) could only be partially represented even with postcoordination. A small number of SNOMED CT and ICD-10-PCS codes (18 codes, 2% of total), could not be mapped because the source codes were underspecified. We noted 4 categories of problems in ICHI-redundancy, missing elements, modeling issues, and naming issues. Using the full range of mapping options, at least three-quarters of the commonly used codes in each source system achieved a full match. For the purpose of international statistical reporting, full matching may not be an essential requirement. However, problems in ICHI that could result in suboptimal maps should be addressed.

Identifiants

pubmed: 37053378
pii: 7117771
doi: 10.1093/jamia/ocad064
pmc: PMC10198530
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1190-1198

Subventions

Organisme : NLM NIH HHS
Pays : United States

Informations de copyright

Published by Oxford University Press on behalf of the American Medical Informatics Association 2023.

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Auteurs

Kin Wah Fung (KW)

National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.

Julia Xu (J)

National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.

Filip Ameye (F)

National Institute for Health and Disability Insurance, Brussels, Belgium.

Lisa Burelle (L)

Canadian Institute for Health Information, Ottawa, Canada.

Janice MacNeil (J)

Canadian Institute for Health Information, Ottawa, Canada.

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