Electronic health record data quality assessment and tools: a systematic review.

Abigail E LewisNicole G Weiskopf Zachary B Abrams Randi E Foraker Albert M Lai Philip Richard Orrin PayneAditi Gupta

Published in: Journal of the American Medical Informatics Association : JAMIA (2023)

Guidelines are needed for EHR data quality assessment to improve the efficiency, transparency, comparability, and interoperability of data quality assessment. These guidelines must be both scalable and flexible. Automation could be helpful in generalizing this process.

Keyphrases

electronic health record
clinical decision support
adverse drug
clinical practice
big data