What this section is for
This section is the starting point for a set of pages on assessing measurement uncertainty (MU) in pathology laboratories. MU is basically the lab’s way of answering: “How much could this result reasonably vary if we repeated the process under normal conditions?” That’s important because clinicians act on numbers—especially when results sit close to thresholds where decisions change.
In the pages that follow, we’ll cover:
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Why MU matters (not just for accreditation, but for safe interpretation)
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The key terms you need and the traps that cause confusion
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A common, repeatable procedure you can use across different tests
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What data you typically need and how to turn it into an MU estimate
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How to use MU in real life: verification, lot changes, analyser changes, and ongoing governance
The goal is a practical approach that produces MU estimates you can defend and actually use.
Move onto Assessment overview – Purpose