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Multiple Choice

What steps are typically performed during assay validation on automation when introducing a new test?

When introducing a new test on automation, the key idea is to establish that the assay will perform accurately and reliably across its intended range before it is used clinically. This means not only showing that the results are consistent, but also that they align with a trusted standard and remain unaffected by factors like sample carryover or interfering substances. Specifically, you compare the new test to a reference method to ensure traceability and unbiased results. You verify precision to demonstrate repeatability and reproducibility across runs. You assess linearity to confirm that the instrument’s response scales appropriately with concentration over the reportable range. You check accuracy to quantify how close the measured values are to true values, often in relation to the reference method. You evaluate carryover to ensure residues from one sample do not contaminate the next. You test for interference from potential substances that could skew results, such as endogenous compounds, medications, or hematocrit effects. All of these performance characteristics are tied to predefined acceptance criteria, and you only go live once those criteria are met and documented. Choosing to install and go live immediately skips essential validation steps and risks reporting unreliable results. Verifying only precision misses important aspects like how the assay behaves across its dynamic range, whether measurements are biased compared to the reference, and whether the system is susceptible to interference or carryover. Ignoring interference leaves the test vulnerable to errors in real-world samples.

When introducing a new test on automation, the key idea is to establish that the assay will perform accurately and reliably across its intended range before it is used clinically. This means not only showing that the results are consistent, but also that they align with a trusted standard and remain unaffected by factors like sample carryover or interfering substances.

Specifically, you compare the new test to a reference method to ensure traceability and unbiased results. You verify precision to demonstrate repeatability and reproducibility across runs. You assess linearity to confirm that the instrument’s response scales appropriately with concentration over the reportable range. You check accuracy to quantify how close the measured values are to true values, often in relation to the reference method. You evaluate carryover to ensure residues from one sample do not contaminate the next. You test for interference from potential substances that could skew results, such as endogenous compounds, medications, or hematocrit effects. All of these performance characteristics are tied to predefined acceptance criteria, and you only go live once those criteria are met and documented.

Choosing to install and go live immediately skips essential validation steps and risks reporting unreliable results. Verifying only precision misses important aspects like how the assay behaves across its dynamic range, whether measurements are biased compared to the reference, and whether the system is susceptible to interference or carryover. Ignoring interference leaves the test vulnerable to errors in real-world samples.