A Study on Uncertainty of Measurement in the Blood Chemical Analysis

Yasuo Iwaki, Tadao Inamura, Komyo Kariya

Abstract

Measured data of blood chemical analysis (BCA) have uncertainty of measurement results in themselves. Generally, this problem is treated by statistical analysis and an effort to find effective factor for the quality control (QC) is studied. Generally, WHO rule is applied in the medical field. But in the rule, the uncertainty is controlled only by SD, CV and etc on the supposition, that the distribution of data is normal one. This is parametric analysis method in the statistical analysis of uncertainty data. On the other hand, recently application of ISO–GUM are discussed and practiced in every QC problems. Because, the QC used ISO-GUM and ISO rule uses parametric analysis method together non-parametric analysis method (non statistical analysis), and suitable parameters are assessed. This study is a discussion to grade up the accuracy of QC of BCA. In this paper, calibration curves became important and the cause of uncertainty is cleared by the data.

Keywords

radioimmunoassay, ISO-GUM, WHO rule, quality control, calibration curve, test reagent, blood chemical analysis

Download

IMEKO-TC7-2002-011.pdf

DOI

-

IMEKO TC

TC7 - Measurement Science

Back to the proceedings