Electronic Health Records (EHRs) have become a cornerstone of modern health research and evaluation. Their promise lies in the vast, real-time, and longitudinal data they provide that can be used to improve care, track outcomes, and inform policy. But as the use of EHR data for research grows, so does the need for rigorous data quality assessment.

Electronic Health Records (EHRs) have revolutionized the way healthcare data are collected, stored, and analyzed. Their promise lies in the ability to capture real-time, longitudinal patient information, offering researchers and clinicians unprecedented opportunities to improve care and conduct evaluation research. Yet, beneath this promise lurks the risk that EHR data may amplify racial bias, leading to flawed research findings and inequitable health outcomes.