Real-time quality control system only using patient samples

Abstract

According to the invention, the PBRTQC technology is introduced into the field of laboratory medicine, and a novel real-time dynamic quality control framework which can cover various error types and sizes and is based on patient test results is established. The framework comprises six floating mean algorithms, experimental parameters of all the algorithms are integrated, and an optimization criterion is set. Through establishment and clinical application of the system, the accuracy and timeliness of a detection result can be further improved, clinical requirements and industrial regulation requirements are better met, medical resources are further saved, medical cost is reduced, medical safety is guaranteed, and doctors and patients are benefited.

Description

technical field [0001] The invention relates to the field of laboratory medicine, in particular to a real-time quality control system using only patient samples. Background technique [0002] Clinical examination is an important auxiliary reference for doctors to make a scientific diagnosis of patients, but the test results often have errors due to some objective or subjective reasons, which will lead to incorrect diagnoses by doctors, further delays in treatment, and even serious harm to patients. harm. Errors may occur in every process of inspection, for example, sample collection, transportation or handling, instrumentation, personnel operation, interpretation of results, etc. Most of the errors in the inspection are related to the instrument, and the laboratory usually uses internal quality control procedures to monitor, guarantee and manage the inspection quality of the entire inspection process. [0003] In order to ensure the reliability of test results, traditional...

AI Technical Summary

Problems solved by technology

However, there are still deficiencies in the PBRTQC quality control method, which are as follows: 1) It is necessary to formulate a quality control plan for each test item target for the population; 2) In the early stage setting, it is necessary to understand the characteristics of the laboratory patient population and the analysis used for the test items Method; 3) The accuracy and speed of detection cannot fully meet the needs of clinical diagnosis and treatment, especially for items with important clinical value, and the detection efficiency of small errors needs to be improved; 4) Functional requirements for laboratory information systems higher

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