Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program.

Lina SuliemanRobert Michael CroninRobert J CarrollKarthik NatarajanKayla MargineanBrandy MapesDan M RodenPaul HarrisAndrea Ramirez

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

Our study quantified the agreement of medical history between 2 sources-EHRs and self-reported surveys. Conditions that are usually undocumented in EHRs had low agreement scores, demonstrating that survey data can supplement EHR data. Disagreement between EHR and survey can help identify possible missing records and guide researchers to adjust for biases.

Keyphrases

electronic health record
clinical decision support
cross sectional
adverse drug
healthcare
big data
drinking water
machine learning