Evaluation of the International Classification of Health Interventions (ICHI) in the coding of common surgical procedures.
J Am Med Inform Assoc
; 29(1): 43-51, 2021 12 28.
Article
in En
| MEDLINE
| ID: mdl-34643710
ABSTRACT
OBJECTIVE:
To evaluate the International Classification of Health Interventions (ICHI) in the clinical and statistical use cases. MATERIALS ANDMETHODS:
We identified 300 most-performed surgical procedures as represented by their display names in an electronic health record. For comparison with existing coding systems, we coded the procedures in ICHI, SNOMED CT, International Classification of Diseases (ICD)-10-PCS, and CCI (Canadian Classification of Health Interventions), using postcoordination (modification of existing codes by adding other codes), when applicable. Failure analysis was done for cases where full representation was not achieved. The ICHI encoding was further evaluated for adequacy to support statistical reporting by the Organisation for Economic Co-operation and Development (OECD) and European Union (EU) categories of surgical procedures.RESULTS:
After deduplication, 229 distinct procedures remained. Without postcoordination, ICHI achieved full representation in 52.8%. A further 19.2% could be fully represented with postcoordination. SNOMED CT was the best performing overall, with 94.3% full representation without postcoordination, and 99.6% with postcoordination. Failure analysis showed that "method" and "target" constituted most of the missing information for ICHI encoding. For all OECD/EU surgical categories, ICHI coding was adequate to support statistical reporting. One OECD/EU category ("Hip replacement, secondary") required postcoordination for correct assignment.CONCLUSION:
In the clinical use case of capturing information in the electronic health record, ICHI was outperformed by the clinically oriented procedure coding systems (SNOMED CT and CCI), but was comparable to ICD-10-PCS. Postcoordination could be an effective and efficient means of improving coverage. ICHI is generally adequate for the collection of international statistics.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
International Classification of Diseases
/
Systematized Nomenclature of Medicine
Type of study:
Prognostic_studies
Country/Region as subject:
America do norte
Language:
En
Journal:
J Am Med Inform Assoc
Journal subject:
INFORMATICA MEDICA
Year:
2021
Document type:
Article
Affiliation country:
United States