“…, based on the assessment number of Z-scores (1,2,3,4,5,6,7,8,9,10,12,14,16,18, and 20; Fig. 1 and Table 1) [5].…”
Section: Establishment Of Decision Criteriamentioning
confidence: 99%
“…Two representative methods used to identify systematic errors in a clinical laboratory are the Levey-Jennings chart [1,2] and the Westgard multirule chart [3]. These 2 quality control (QC) procedures are 1 fundamentally limited, in that the test results from the QC materials are interpreted with eight semi-quantitative sections, including the following: less than -3 standard deviations (SDs), -3 SD to -2 SD, -2 SD to -1 SD, -1 SD to mean, mean to +1 SD, +1 SD to +2 SD, +2 SD to +3 SD, and over +3 SDs [3].…”
“…, based on the assessment number of Z-scores (1,2,3,4,5,6,7,8,9,10,12,14,16,18, and 20; Fig. 1 and Table 1) [5].…”
Section: Establishment Of Decision Criteriamentioning
confidence: 99%
“…Two representative methods used to identify systematic errors in a clinical laboratory are the Levey-Jennings chart [1,2] and the Westgard multirule chart [3]. These 2 quality control (QC) procedures are 1 fundamentally limited, in that the test results from the QC materials are interpreted with eight semi-quantitative sections, including the following: less than -3 standard deviations (SDs), -3 SD to -2 SD, -2 SD to -1 SD, -1 SD to mean, mean to +1 SD, +1 SD to +2 SD, +2 SD to +3 SD, and over +3 SDs [3].…”
“…The original chart used by Levey and Jennings was a Shewhart chart on which was plotted the mean of duplicate measurements of a patient sample [ 8 ]. The use of duplicate measurements of quality control was subsequently modified a couple of years later to a single measurement of quality control material, and " single measurement " statistical quality control has become the industry standard [ 9 ].…”
Section: Quality Control and Statistical Theorymentioning
The discipline of laboratory medicine is relati vely young when considered in the context of the history of medicine itself. The history of quality control, within the context of laboratory medicine, also enjoys a relati vely brief, but rich history. Laboratory quality control continues to evolve along with advances in automation, measure ment techniques and information technology. Clinical Chemistry and Laboratory Medicine (CCLM) has played a key role in helping disseminate information about the proper use and utility of quality control. Publication of important advances in quality control techniques and dissemination of guidelines concerned with laboratory quality control has undoubtedly helped readers of this journal keep up to date on the most recent developments in this field.
“…Although many things remain to be improved, statistical quality control procedures have significantly enhanced analytical performances since they were first introduced in clinical laboratories in the late 1950s. Method validation studies and application of quality control samples have considerably reduced the error rates of the analytical phase (Levey, 1950;Henry RJ, 1952). A simple technique that we can use in our laboratories is to translate the method validation results into sigma metrics (Westgard, 2006a;Westgard, 2006b).…”
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