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

Abstract

The embodiment of the invention discloses a self-diagnosis method for the measure result of a blood analyzer, and a device thereof. The method comprises the following steps: generating a sample sucking process light transmittance curve according to the change of the sample light transmittance in the blood sample sucking process; judging whether an abnormity appears in the sample sucking process or not according to the sample sucking process light transmittance curve; determining that the measure result of the blood sample can be trusted if no abnormity appears in the sample sucking process; and determining that the measure result of the blood sample is doubtful if the abnormity appears in the sample sucking process. The self-diagnosis method for the measure result of the blood analyzer, and the device thereof have the advantages of improvement of the measure result self-diagnosis accuracy of the blood analyzer, reduction of the false positive rate, reduction of the work intensity for the measure result user check, and measure cost saving.

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 it measures can be divided into three series: leukocyte line, erythrocyte line (erythrocyte and hemoglobin) and platelets. The three series can be subdivided into dozens of parameters. The more high-end blood analyzers are, the more parameters they can measure. [0003] In large hospitals, the volume of blood samples that need to be measured by blood analyzers every day is very large. Is there variation in the many measurement results? What caused the variation (is it abnormal in the blood sample itself or because of the blood analyzer)? These all require manual judgment by the clinical laboratory physician, which puts a lot of pressure on the clinical laborat...

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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

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