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ABSTRACT: Background
Electronic health records (EHRs) have an enormous potential to advance medical research and practice through easily accessible and interpretable EHR-derived databases. Attainability of this potential is limited by issues with data quality (DQ) and performance assessment.Objective
This review aims to streamline the current best practices on EHR DQ and performance assessments as a replicable standard for researchers in the field.Methods
PubMed was systematically searched for original research articles assessing EHR DQ and performance from inception until May 7, 2023.Results
Our search yielded 26 original research articles. Most articles had 1 or more significant limitations, including incomplete or inconsistent reporting (n=6, 30%), poor replicabili
SUBMITTER: Penev YP
PROVIDER: S-EPMC11559435 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature