Electronic health record data quality variability across a multistate clinical research network.

ABSTRACT:

Background

Electronic health record (EHR) data have many quality problems that may affect the outcome of research results and decision support systems. Many methods have been used to evaluate EHR data quality. However, there has yet to be a consensus on the best practice. We used a rule-based approach to assess the variability of EHR data quality across multiple healthcare systems.

Methods

To quantify data quality concerns across healthcare systems in a PCORnet Clinical Research Network, we used a previously tested rule-based framework tailored to the PCORnet Common Data Model to perform data quality assessment at 13 clinical sites across eight states. Results were compared with the current PCORnet data curation process to explore the differences between both methods. Additi

SUBMITTER: Mohamed Y 

PROVIDER: S-EPMC10308424 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature