Power Function Graph of Quality Control Rules in Medical Laboratories Based on Monte Carlo Method and Its Application Research
10.3969/j.issn.1671-7414.2024.04.035
- VernacularTitle:基于蒙特卡洛法绘制医学实验室质控规则的功效函数图及应用研究
- Author:
Jinming ZHANG
1
;
Huimin WANG
;
Kun ZHONG
;
Shuai YUAN
;
Xingtong CHEN
;
Falin HE
Author Information
1. 北京医院/国家老年医学中心/中国医学科学院老年医学研究院/国家卫生健康委临床检验中心/北京市临床检验工程技术研究中心,北京 100730;中国医学科学院/北京协和医学院,北京 100730
- Keywords:
quality management;
internal quality control;
power function graph
- From:
Journal of Modern Laboratory Medicine
2024;39(4):192-196
- CountryChina
- Language:Chinese
-
Abstract:
Objective To discuss how to plot a power function graph and draw power function graphs corresponding to common quality control rules to assist medical laboratories in selecting quality control rules.Methods Commonly used quality control rules in clinical laboratory testing in China were collected,power function graphs based on the Monte Carlo method were plotted,and the simulation results with existing results were compared and tested the reliability of the method.Results The Monte Carlo method could be used to easily plot power function graphs for the most complex quality control rules such as 13s/22s/R4s/41s/8(x-).This method had a high level of accuracy,but the accuracy and precision were positively correlated with the number of simulations.In terms of statistical proportions of seven commonly used quality control rules,the 13s/22srule had the highest usage proportion,followed by the 13s/22s/R4s.The power function graph corresponding to the 13s/22s/R4s/41s/10(x-) rule was plotted,and the sigma level lines were marked to assist the laboratory in selecting quality control rules.Conclusion The Monte Carlo method accurately plotted power function graphs,and medical laboratories could use this method to independently plot efficiency function graphs to meet quality control requirements.
