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One approach to verifying the quality of research data obtained from EHRs is auditing how complete and correct the data are in comparison with those collected by manual and controlled methods. This study analyzed data quality of an EHR-derived dataset for COVID-19 research, obtained during the pandemic at Hospital Universitario 12 de Octubre. Data were extracted from EHRs and a manually collected research database, and then transformed into the ISARIC-WHO COVID-19 CRF model. Subsequently, a data analysis was performed, comparing both sources through this convergence model. More concepts and records were obtained from EHRs, and PPV (95% CI) was above 85% in most sections. In future studies, a more detailed analysis of data quality will be carried out.

Original publication

DOI

10.3233/SHTI220430

Type

Journal article

Journal

Stud Health Technol Inform

Publication Date

25/05/2022

Volume

294

Pages

164 - 168

Keywords

COVID-19, Completeness, Correctness, Data Quality, Electronic Health Records, ISARIC-WHO, Real World Data, Semantics, Standards, COVID-19, Data Accuracy, Databases, Factual, Electronic Health Records, Humans, Pandemics