Quality Controls Implementing quality control measures, such as running control samples concurrently with test samples, helps identify inconsistencies. Control samples with known outcomes can highlight deviations in processing or analysis.
Inter-Laboratory Comparisons Participating in inter-laboratory comparisons or proficiency testing programs helps validate consistency across different settings. These comparisons can identify areas for improvement and ensure adherence to best practices.