A Semantic Framework for Data Quality Assurance in Medical Research

The large amount of patient data amassed in the Electronic Patient Record systems are of great value for medical research. Aggregating research-grade data from these systems is a laborious, often manual process. We present a semantic framework that incorporates a data semantic model and validation rules to accelerate the cleansing process for data in Electronic Patient Record systems. We demonstrate the advantages of this semantic approach in assuring data quality over traditional data analysis methods.