Open AccessQuantitative Application of Sigma Metrics in Medical Biochemistry
Author(s) -
Saurav Narayan Nanda,
Lopamudra Ray
Publication year - 2013
Publication title -
journal of clinical and diagnostic research
Language(s) - English
Resource type - Journals
eISSN - 2249-782X
pISSN - 0973-709X
DOI - 10.7860/jcdr/2013/7292.3700
Subject(s) - external quality assessment , sigma , mathematics , six sigma , statistics , uric acid , creatinine , quality assurance , bilirubin , chemistry , medicine , physics , chromatography , biochemistry , pathology , quantum mechanics , cascade
Laboratory errors are result of a poorly designed quality system in the laboratory. Six Sigma is an error reduction methodology that has been successfully applied at Motorola and General Electric. Sigma (σ) is the mathematical symbol for standard deviation (SD). Sigma methodology can be applied wherever an outcome of a process has to be measured. A poor outcome is counted as an error or defect. This is quantified as defects per million (DPM). A six sigma process is one in which 99.999666% of the products manufactured are statistically expected to be free of defects. Six sigma concentrates, on regulating a process to 6 SDs, represents 3.4 DPM (defects per million) opportunities. It can be inferred that as sigma increases, the consistency and steadiness of the test improves, thereby reducing the operating costs. We aimed to gauge performance of our laboratory parameters by sigma metrics.