Details
This study assesses the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues and identifies issues of data completeness by comparing complementary data domains, stratifying by time, care setting, and provenance. Queries were distributed to three Data Partners (DP). Using harmonization queries, we examined the top 200 laboratory results and medications by volume, identifying outliers and computing summary statistics. The completeness queries looked at four conditions of interest and related clinical concepts. Counts were generated for each condition, stratified by year, encounter type, and provenance. We analyzed trends over time within and across DPs.