Assessing Data Quality
Description
Assessing data quality is a key step in research that uses data from the electronic health record. These data are a surrogate for clinical phenomena, meaning they represent an interpretation of clinical information about a patient instead of absolute truth. This video describes steps for assessing data quality, including identifying variation between populations at different sites and assessments of accuracy, completeness, and consistency.
Speaker
Rachel Richesson, PhD 
Professor of Learning Health Sciences, University of Michigan Medical School
Electronic Health Records Core Co-chair