A Service Oriented Framework to Assess the Quality of Electronic Health Data for Clinical Research

Retrospective/observational clinical research studies are dependent on the secondary use of electronic health record (EHR) data for obtaining important results about the effectiveness of different medical interventions. In contrast to traditional clinical trials these studies provide results from real-world clinical settings, but suffer from data quality issues. Therefore, it is important to take into account the nature and quality of data when designing these studies in order to differentiate between true and artifactual variations [1]. We are developing a service-oriented framework to assess the quality of EHR data.