Self-diagnosis method for measure result of blood analyzer, and device thereof

Abstract

A self-diagnosis method and apparatus for measuring results from blood analyzers. The method includes: generating a suction process transmittance curve according to the changes in light transmittance of samples during the suction process of taking blood samples(S100); judging whether there are anomalies in the suction process according to the suction process transmittance curve(S101); if there are no anomalies in the suction process, determining that the measured results of the blood samples are credible (S102); and, if there are anomalies in the suction process, determining that there are doubts about the measured results of the blood samples(S103). The self-diagnosis method and apparatus for measuring results from blood analyzers can improve the accuracy of self-diagnosis of measured results from blood analyzers, and reduce the false positive rate. At the same time, the workload of users in examining and verifying the measured results is reduced, thereby saving on measuring costs.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to a self-diagnosis method and device for the measurement results of a blood analyzer. Background technique [0002] Hematology analyzer is one of the most widely used instruments in hospital clinical testing. The parameters measured by it can be divided into three series: white blood cell line, red blood cell line (red blood cell and hemoglobin) and platelet. The three major series can be subdivided into dozens of parameters. The more high-end hematology analyzer, the more parameters it can measure. [0003] In a large hospital, a large amount of blood samples are required to be measured by a hematology analyzer every day. Is there any variation in the numerous measurement results? What is the reason for the variation (whether the blood sample itself is abnormal or the variation is caused by the blood analyzer)? All of these require clinical laboratory physicians to make manual j...

AI Technical Summary

Problems solved by technology

[0006] Although the above method can improve the ability of the hematology analyzer to automatically identify the measurement results and the abnormal state of the instrument, and alleviate the work pressure of the laboratory doctor to review the samples to a certain extent, its defects are also very obvious: for method 1, it can only be obtained from the identification results themselves. Whether it is abnormal in the clinical statistical sense, but the cause of the abnormality cannot be identified, so the probability of false positives (that is, the blood sample itself is abnormal, not the abnormality of the instrument) will be relatively high, causing unnecessary re-measurement and increasing costs; for method 2 , the abnormality of the blood analyzer during the measurement process does not necessarily lead to the abnormality of the measured parameters, so method 2 also has a high false positive rate, and the working process of the user's continuous sample measurement will also be frequently blocked. interrupt

Images