基于大数据处理的检验科全面质量管理研究与应用

Research and Application of Laboratory Total Quality Management Based on Big Data Processing

通过对实验室全面质量管理的深入研究,全面分析了影响实验室质量控制因素,从检验前、检验中、检验后三个方面提出新的质控手段和技术,依托大数据处理技术,从纷杂的数据中发现、提取有价值的信息,将过去的基于数理统计的事后质量控制全面升级为事前质量控制。

Through the in-depth research on total quality management of a laboratory, a comprehensive analysis is made on factors influencing quality control of the laboratory. A new quality control method and technology before, during and after the test is put forward. Relying on the big data processing technology, valuable information is found and extracted from the complex data, and the previous post quality control based on mathematical statistics is comprehensively upgraded into prior quality control.