Statistical analysis of quality control of automatic processor / 中华放射学杂志

ABSTRACT

Objective To strengthen the scientific management of automatic processor and promote QC, based on analyzing QC management chart for automatic processor by statistical method, evaluating and interpreting the data and trend of the chart. Methods Speed, contrast, minimum density of step wedge of film strip were measured everyday and recorded on the QC chart. Mean ( ), standard deviation ( s ) and range(R) were calculated. The data and the working trend were evaluated and interpreted for management decisions. Results Using relative frequency distribution curve constructed by measured data, we can judge whether it is a symmetric bell shaped curve or not. If not, it indicates a few extremes overstepping control limits possibly are pulling the curve to the left or right. If it is a normal distribution, standard deviation( s ) is observed. When ?2s lies in upper and lower control limits of relative performance indexes, it indicates the processor works in stable status in this period. Conclusion Guided by statistical method, QC work becomes more scientific and quantified. We can deepen understanding and application of the trend chart, and improve the quality management to a new step.