Objective This paper aims to explore how to introduce the concept of risk management into the laboratory quality control and optimize the laboratory quality management strategy.Methods By analyzing the principle of laboratory quality control and the integration mechanism of risk management and quality control,the deficiencies in standardization of quality control procedures,risk prevention mechanism and data utilization feedback in Chinese laboratories are revealed.Results Based on this,optimization paths such as building standardized quality control procedures,multi-dimensional risk prevention system and data-driven monitoring feedback mechanism are proposed.Conclusion The research shows that integrating risk management into laboratory quality control can significantly improve the quality management level,reduce quality risks,and provide a strong quality guarantee for scientific research.
laboratory quality controlrisk managementquality control proceduresdata-driven
NETL
NSTL
万方数据
