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
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
1190-1198Subventions
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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