Quality Management
Are there normal and abnormal OPSpecs charts? No. A "normalized" chart is specially created so that you can use it for all methods, regardless of their quality requirements. It's one-stop shopping for OPSpecs charts - making it even easier to choose control rules for your laboratory methods. Read this lesson and then use the online calculator to see how it works - quickly, easily, and hassle-free.
You've got some methods in your laboratory that you don't have to worry about (right?). Then there are some that from time to time, have "issues." And then there are the persistently difficult methods, where it's always out-of-control and you don't know where the problem lies. And you have to make sure your scarce personnel are making all these methods work? Here's a new way to do it: a TQC strategy. Using TQC strategies, you'll know what to do for every method, when to do it, and when to move on.
How sophisticated are your quality planning needs? Does your quality take imprecision (CV) and inaccuracy (bias) into account? That's an analytical quality requirement. Does your quality take biological variability of the patient, as well as the physician's clinical decision interval, into account? That's a clinical decision interval. Learn the differences between analytical and clinical quality planning models, as well as the advantages and disadvantages of these approaches.
What if there was a chart that allowed you to choose a rule that would guarantee you met the quality you specify, just by figuring out if a point is above or below a line? OPSpecs Charts allow you to choose the methods for your laboratory by simple visual inspection. If you know your bias, your CV, and the quality you need to acheive, you can pick the best control rule in less than a minute!
Want to know just how much your error detection is? What precisely your false rejection is? For all the methods in your laboratory? Critical-Error graphs are powerful tools that tell you quickly how well your method is performing.