What is a major risk of poor sample labeling in a clinical laboratory?

• A. Increased sample volume
• B. Faster turnaround time
• C. Misidentification leading to incorrect test results and patient care
• D. More accurate results

Answer: (C)

Misidentification of a patient sample is the central risk when labeling is poor. The label is the link that ties every test result to the correct patient, specimen type, and collection event. If labels are wrong, missing, or swapped, the lab might analyze the wrong specimen or report results for the wrong patient. That can lead to a cascade: a misdiagnosis, inappropriate treatment, adverse patient outcomes, or delays while the patient’s sample is recollected and retested. It also creates medicolegal and quality-safety concerns because the integrity of the test data is compromised.

To prevent this, laboratories use strict labeling practices—collectors apply accurate identifiers at collection, employ barcodes and unique IDs, and verify matches before testing and reporting. The other options don’t reflect the real hazard of labeling issues: labeling problems don’t inherently increase sample volume or shorten turnaround, and they certainly don’t improve accuracy.