Navigating electronic health record accuracy by examination of sex incongruent conditions.

ABSTRACT:

Objective

The increasing reliance on electronic health records (EHRs) for research and clinical care necessitates robust methods for assessing data quality and identifying inconsistencies. To address this need, we develop and apply the incongruence rate (IR) using sex-specific medical conditions. We also characterized participants with incongruent records to better understand the scope and nature of data discrepancies.

Materials and methods

In this cross-sectional study, we used the All of Us Research Program's latest version 7 (v7) EHR data to identify prevalent sex-specific conditions and evaluated the occurrence of incongruent cases, quantified as IR.

Results

Among the 92 597 males and 152 551 females with condition occurrence data available from All of Us and sex-

SUBMITTER: Cai L 

PROVIDER: S-EPMC11631140 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature