Validation of ICD-10-CM diagnosis codes for identifying COVID-19 cases using administrative claims data in Taiwan

Wei-Lun Chang, Chia-Ling Wu, Cheng-Hsun Chiu, Yu-Tung Huang · 2026

Read Validation of ICD-10-CM diagnosis codes for identifying COVID-19 cases using administrative claims data in Taiwan by Wei-Lun Chang, Chia-Ling Wu, Cheng-Hsun Chiu, Yu-Tung Huang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13383511.txt.

Description

Wei-Lun Chang and co-authors report a 2026 study that checks a billing code for COVID-19 in Taiwan. Studies that use claims data need a code that truly marks who had the disease. The team tested the main code against lab test results.

Claims from 2022 were linked to lab records across many sites, with more than 127,000 visits in all. The code was right in most flagged cases and almost never flagged a healthy visit. Yet it caught only about a quarter of true cases overall. Catch rates were far higher for hospital stays and for adults over 80. Rates dipped at the peak of the wave, when rapid tests took over from lab tests.

Catalog record

CREATORWei-Lun Chang, Chia-Ling Wu, Cheng-Hsun Chiu, Yu-Tung Huang
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE26 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13383511

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