Abstract
Background/Aims Quality Assurance is a broad term with widely varying expectations about the nature of QA activities. The HMORN Virtual Data Warehouse (VDW) has an expanding set of quality assurance data checks. These checks improve the reliability and consistency of the data across sites. By reviewing several real-world examples, we will step through and evaluate several of the ‘FYings’ of quality assurance work. Q1: Can we justiFY QA? Q2: Can we codiFY QA? Q3: Can we quantiFY QA? Q4: Can we demystiFY QA? And finally Q5: Can we commodiFY QA?
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