|QC - The Chances of Rejection|
|Written by James O. Westgard, Ph.D.|
Dr. Westgard explains how an analytical testing process works to reject the bad runs and keep the good runs. False rejection and error detection are explained. The different kinds of problems (precision , accuracy, etc.) are also described. If you've ever wondered whether there was method to your laboratory madness, this article is for you.
The room or building you're in most likely has a fire alarm or a whole system of fire detectors. What's the chance that a fire will detected by your alarm system if the source of the fire is:
The fire we want to detect in an analytical testing process is any analytical error that would burn a physician or patient, i.e., destroy the value of the test result that we are providing to the physician or patient. Like a fire detector, a QC procedure is an analytical error detector that sounds an alarm when something happens to the analytical testing process or "method.". The alarm is supposed to detect situations of unstable method performance with 100% certainty (or probability of 1.00), and ideally, shouldn't give any false alarms (0.00% chance or probability of 0.00) when performance is stable or the method is working okay. You would expect that the chance of detecting an analytical problem will depend on the size of the error occurring, the number of controls used to monitor method performance, and the sensitivity of the statistical rules being applied. You want a high chance or probability of detecting medically important errors, but you don't want to be interrupted by false alarms when the method is working okay.