Abstract
Quality Assurance (QA) is the backbone of clinical data abstraction. Quality Control (QC) procedures provide confidence in the completeness and accuracy of critical data elements. QA determines the value of data collected for cancer control initiatives using real-world evidence (RWE), supporting delivery of patient care and research. Meaningful insights can only be drawn from quality data.
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