average of normals

average of normals

A method of quality control in which an error condition is signalled in an analytic process each time the average of selected consecutive patient data is ≥ control limits established for the mean of the patient population.
References in periodicals archive ?
Assessment of "average of normals" quality control procedures and guidelines for implementation.
Other location parameters besides the median have been proposed, including the mean after outlier removal with Tukey method, the average of normal values, and the mean of log-transformed values (19).
Use of medians and "average of normal" of patients' data for assessment of long-term analytical stability.
The 'average of normals' method of quality control.
The concept of average of normal (AON) or Moving Averages is not new.
Over 50 years ago, Hoffman and Wain proposed the "average of normals" (AON) [3] as an alternative to control-based QC (8).
The "average of normals" method of quality control.
An evaluation of the "average of normals" and related methods of quality control.
The user further selects among control rules on the basis of measurement of control materials (so-called traditional rules) or on patient values (average of normals principle).
These include so-called traditional rules: Levey-Jenning, Westgard multirules, mean and range rules (~70), and patient-based rules (average of normals).
Design and assessment of average of normals (AON) patient data algorithms to maximize run lengths for automatic process control.
Changes in method stability can be factored into the dynamic QC process and can also be used to adjust run length, as suggested by recent design work on the application of "average of normals" patient data algorithms to measure process stability and determine when to requalify the testing process X32].