ArticleBMJ health & care informatics2022
Development of a customised programme to standardise comorbidity diagnosis codes in a large-scale database.
Article in BMJ health & care informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Risk factors associated with in-hospital complications for pediatric sickle-cell disease-associated moyamoya syndrome: a nationwide cross-sectional study.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024Article
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Authors and funding
3 authors.
Funding
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Abstract
objectivesThe transition from ICD-9 to ICD-10 coding creates a data standardisation challenge for large-scale longitudinal research. We sought to develop a programme that automated this standardisation process.
methodsA programme was developed to standardise ICD-9 and ICD-10 terminology into one system. Code was improved to reduce runtime, and two iterations were tested on a joint ICD-9/ICD-10 database of 15.8 million patients.
resultsBoth programmes successfully standardised diagnostic terminology in the database. While the original programme updated 100 000 cells in 12.5 hours, the improved programme translated 3.1 million cells in 38 min. DISCUSSION: While both programmes successfully translated ICD-related data into a standardised format, the original programme suffered from excessive runtimes. Code improvement with hash tables and parallelisation exponentially reduced these runtimes.
conclusionDatabases with ICD-9 and ICD-10 codes require terminology standardisation for analysis. By sharing our programme's implementation, we hope to assist other researchers in standardising their own databases.
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