Development of a customised programme to standardise comorbidity diagnosis codes in a large-scale database

OBJECTIVES: The 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. METHODS: A 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. RESULTS: Both 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. CONCLUSION: Databases 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.