Diagnostic code agreement for electronic health records and claims data for tuberculosis.

ABSTRACT: OBJECTIVE: To measure the frequency of diseases related to latent tuberculosis infection (LTBI) and tuberculosis (TB), we assessed the agreement between diagnosis codes for TB or LTBI in electronic health records (EHRs) and insurance claims for the same person.METHODS: In a US population-based, retrospective cohort study, we matched TB-related Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) EHR codes and International Statistical Classification of Diseases, 10^th Revision, Clinical Modification (ICD-10-CM) claims codes. Furthermore, LTBI was identified using a published ICD-based algorithm and all LTBI- and TB-related SNOMED CT codes.RESULTS: Of people with the 10 most frequent TB-related claim codes, 50% did not have an exact-matched

SUBMITTER: Iqbal SA 

PROVIDER: S-EPMC7586722 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature