Studies estimate 1 in every 200 samples is misidentified, potentially causing incorrect results. Labs implement rigorous quality systems to ensure chain of custody for specimens. However, specimen mishandling may occur at various steps, and these mistakes can result in incorrect care, damaging a lab’s reputation. Labs need robust sample identity tracking to prevent errors and ensure the results match the specimen.