An Alternative Metric for EHR Data Completeness

Poster Number: P44
Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Data Standards, Precision Medicine, Bioinformatics
Primary Track: Applications

The utility of electronic health record (EHR) data for secondary research can be limited by data missingness, which can arise from medical care received outside of compatible health data systems. We quantified expected EHR frequency using records from a reference cohort of participants with the most complete EHR data, allowing for an estimation of EHR data completeness for the full cohort.

Speaker(s):
John Giannini, Ph.D.
National Institutes of Health

Author(s):
Yechiam Ostchega; Matthew Spotnitz, MD - National Institutes of Health; Emily Clark, MPH - Leidos; Lakshmi Anandan, MPH - Leidos; Lew Berman, PhD - National Institutes of Health;