Quantifying the Effect of Data Quality on the Validity of an eMeasure.
Objective The objective of this study was to demonstrate the utility of a healthcare data quality framework by using it to measure the impact of synthetic data quality issues on the validity of an eMeasure (CMS178—urinary catheter removal after surgery). Methods Data quality issues were artificially created by systematically degrading the underlying quality of EHR data using two methods: independent and correlated degradation. A linear model that describes the change in the [...]
Author(s): Johnson, Steven G, Speedie, Stuart, Simon, Gyorgy, Kumar, Vipin, Westra, Bonnie L
DOI: 10.4338/ACI-2017-03-RA-0042