Improving Assessment of EHR Data Quality By Explicitly Accounting For Underlying Biases
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.
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