Quality control plays a key role in helping laboratories ensure the quality of patient results and minimize patient risk. While many think of QC as being a static area within the field of clinical laboratory sciences, it is, in fact, dynamic with advances in QC strategy continually evolving. New technologies in QC are presented at local and national conferences around the globe, but only a fraction in the lab community is fortunate enough to attend these meetings.
A good estimate for target mean for a new lot can be achieved by designing a crossover study with 10 results and back calculating the standard deviation (SD) from a previous lot. The targets should be re-evaluated after accumulating more than 60 data points at each level. For a new lot with no historical data, establishing initial SD requires more than 60 data points. It is also suggested that there should be a quarterly review.
New Z-squared QC rules (Z2) and repeat Z-squared are also shown to be more powerful than traditional multi-rules.
New Technologies in QC