Improving data quality of routine data for clinical research

Thomas Fischer, Gregor Hohmann, Tino Münster, Frank Lauterwald & Richard Lenz
Introduction: Large amounts of data are typically buried in operational IT systems or EMRs, unavailable for clinical research. Extracting data for research purposes from these sources is often tedious and the quality of the extracted data is often questionable [ref:2]. The QuadSys Project[for full text, please go to the a.m. URL]