Information solution for the classification and assessment of specimen quality / 临床检验杂志

ABSTRACT

Objective@#To establish the information solution for the classification and assessment of specimen quality based on the assembly line. @*Methods@#Before the samples entered into the assembly line, they were took pictures and screened by the image results. For the suspected samples, serum index was detected. Then, the classification criteria of specimen quality were set, and the alarm thresholds of serum indices for each item suitable for our laboratory were established. The results of serum indices were compiled into the corresponding text descriptions and automatically written into the notes of the result reports. The pictures of blood collection tubes were stored in the laboratory information management system (LIMS) and could be accessed at any time for verification. The samples intercepted by the automatic review were further reviewed by manual. @*Results@#The intra-assay coefficients of variation (CV) of serum indices for haemolysis (H), lipaemia (L) and icterus (I) were 0.6%, 0.7% and 1.3%, respectively, indicating that the precision was good. Among 657 770 samples detected by the assembly line, 11.9% of samples were screened out before they entered the assembly line. The detection of serum indices of these samples demonstrated that the samples with haemolysis, lipaemia and icterus accounted for 1.6%, 1.2% and 0.3% of the total samples, respectively. According to the results of the interference experiment, the alarm threshold of hemolytic serum index was set in 11 items, and those of lipaemia and icterus were set in 1 item. @*Conclusion@#By establishing the information solution of specimen quality based on the assembly line, the real-time classification prompting of specimen quality is realized, and the missed detection is avoided, which is helpful to reduce the pre-analysis errors caused by serum quality and simplify the laboratory workflow.