A statistical quality assessment method for longitudinal observations in electronic health record data with an application to the VA million veteran program.

ABSTRACT:

Background

To describe an automated method for assessment of the plausibility of continuous variables collected in the electronic health record (EHR) data for real world evidence research use.

Methods

The most widely used approach in quality assessment (QA) for continuous variables is to detect the implausible numbers using prespecified thresholds. In augmentation to the thresholding method, we developed a score-based method that leverages the longitudinal characteristics of EHR data for detection of the observations inconsistent with the history of a patient. The method was applied to the height and weight data in the EHR from the Million Veteran Program Data from the Veteran's Healthcare Administration (VHA). A validation study was also conducted.

Results

The receiv

SUBMITTER: Wang H 

PROVIDER: S-EPMC8529838 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature