Biostatistics Weekly Seminar


Finding the Needles in a Haystack: a Journey to Improve Data Quality in EHRs

Qingxia (Cindy) Chen, PhD
Vanderbilt University Medical Center

Electronic Health Records (EHR) systems have been increasingly implemented at US hospitals. Large amounts of longitudinal and detailed patient information, including lab tests, medications, disease status, and treatment outcome, have been accumulated and are available electronically. These large clinical databases are valuable and cost-effective data sources for clinical and translational research. Dense and irregularly recorded vital signs and lab measurements are great components of EHRs with potential entry errors. Manual evaluation is time- and cost-consuming and hence infeasible if not impossible. Using weight and height as examples, we will illustrate the challenges and possible solutions. We will also apply the methods to a Growth Chart Study using EHR data.


MRBIII, Room 1220
22 May 2019
1:30pm


Speaker Itinerary

Topic revision: r3 - 16 May 2019, SrKrueger
 

This site is powered by FoswikiCopyright © 2013-2017 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Vanderbilt Biostatistics Wiki? Send feedback