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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.7
- 수록면
- 240 - 246 (7page)
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Objectives: This study investigated the effectiveness of using standardized vocabularies to generate epilepsy patient cohortswith local medical codes, SNOMED Clinical Terms (SNOMED CT), and International Classification of Diseases tenth revision(ICD-10)/Korean Classification of Diseases-7 (KCD-7). Methods: We compared the granularity between SNOMED CTand ICD-10 for epilepsy by counting the number of SNOMED CT concepts mapped to one ICD-10 code. Next, we createdepilepsy patient cohorts by selecting all patients who had at least one code included in the concept sets defined using eachvocabulary. We set patient cohorts generated by local codes as the reference to evaluate the patient cohorts generated usingSNOMED CT and ICD-10/KCD-7. We compared the number of patients, the prevalence of epilepsy, and the age distributionbetween patient cohorts by year. Results: In terms of the cohort size, the match rate with the reference cohort was approximately99.2% for SNOMED CT and 94.0% for ICD-10/KDC7. From 2010 to 2019, the mean prevalence of epilepsy definedusing the local codes, SNOMED CT, and ICD-10/KCD-7 was 0.889%, 0.891% and 0.923%, respectively. The age distributionof epilepsy patients showed no significant difference between the cohorts defined using local codes or SNOMED CT, but theICD-9/KCD-7-generated cohort showed a substantial gap in the age distribution of patients with epilepsy compared to thecohort generated using the local codes. Conclusions: The number and age distribution of patients were substantially differentfrom the reference when we used ICD-10/KCD-7 codes, but not when we used SNOMED CT concepts. Therefore, SNOMEDCT is more suitable for representing clinical ideas and conducting clinical studies than ICD-10/KCD-7.
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