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Dynamic monitoring system and method for quantitative detection and intelligent auditing

A dynamic monitoring and quantitative detection technology, applied in data processing applications, special data processing applications, medical and health care resources or facilities, etc., can solve the problems of little guidance, complicated operation of self-made quality control products, and staying.

Inactive Publication Date: 2017-05-17
深圳金域医学检验实验室
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method also has some limitations: this method requires the use of quality control products, relatively small laboratories may not be able to purchase quality control products due to cost constraints, and self-made quality control products are complicated to operate and cannot cover all items; Westgard quality control It can only be used to monitor the quality of the analysis, and cannot reflect the quality of the process before and after the analysis; since the quality control product is derived from calf serum (plasma) and added with additives and antibacterial agents, the performance trend of the test results may be different from that of patients , Sometimes you may encounter abnormal quality control results during the test, but there is no abnormality in the determination of patient samples. This phenomenon is often caused by matrix effects; the traditional Westgard quality control can only monitor the analysis for a period of time after the determination of quality control substances System status, if the sample size is large and the time interval is long, then more quality control substances are required to supplement, and the cost and labor complexity will increase. Find all affected samples; the evaluation indicators are Ped (error detection probability) and Pfr (false out-of-control probability). However, this indicator cannot reflect the batch length, which leads to the fact that the current batch length quality control scheme only stays in theoretical research, and the laboratory still conducts quality control based on the default analysis batch
However, it has little guiding significance for actual operation, and the real-time performance needs to be enhanced

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] A dynamic monitoring system for quantitative detection and intelligent review, including a data storage module, an information entry module, a reference data module and a real-time monitoring module:

[0030] The data storage module is used to store historical testing data; the information input module is used to input testing items and equipment information in units of testing systems, and the equipment information includes laboratory name, testing reagent, testing instrument name and testing instrument model;

[0031] The information input module extracts preliminary historical detection data from the data storage module according to the input detection items and equipment information;

[0032] The reference data module includes a data extraction sub-module, a data processing sub-module and a drawing sub-module. The data extraction sub-module is used to set the extraction parameters and filtering rules, and extract the target history from the preliminary historical det...

Embodiment 2

[0035] Another dynamic monitoring system for quantitative detection and intelligent auditing provided in this embodiment is based on the dynamic monitoring system for quantitative detection and intelligent auditing in Embodiment 1. In this embodiment, the median is used instead of the mean value for dynamic monitoring: the data processing sub The module calculates the reference median, reference standard deviation SP, coefficient of variation, SP / SA, proportion of big-endian data, proportion of small-endian data, proportion of excluded data, normal distribution probability and percentile of the target reference data calculated by the module , where the calculated percentile includes 10% percentile, 50% percentile and 90% percentile; the operating parameters set in the real-time monitoring module include the number of samples automatically included in the monitoring, the fixed median Number, fixed standard deviation, out-of-control limit, interception limit and lag point, the ca...

Embodiment 3

[0037] Another dynamic monitoring system for quantitative detection and intelligent auditing provided in this embodiment is based on the dynamic monitoring system for quantitative detection and intelligent auditing in Embodiment 1. In this embodiment, on the basis of the mean value, the moving weighted index mean value is used instead of the moving mean value Perform dynamic monitoring: The operating parameters set in the real-time monitoring module include the number of samples automatically included in the monitoring, fixed mean, fixed standard deviation, out-of-control limit, interception limit, smoothing index and lag point; the real-time monitoring module includes real-time operation sub-modules and simulation The offset sub-module, in which the real-time operation sub-module uses the set number of samples automatically included in the monitoring as a batch to calculate the moving average value of the real-time detection data that meets the interception limit conditions, an...

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PUM

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Abstract

The invention discloses a dynamic monitoring system for quantitative detection and intelligent auditing and relates to the technical field of quantitative detection. The system comprises an information entry module and a real-time monitoring module, wherein the information entry module is used for entering detection items and equipment information for units by a detection system; and the real-time monitoring module is used for receiving real-time detection data with the detection items and the detection system as units and further used for setting operating parameters, the operating parameters comprise the number of automatically monitored samples, the real-time monitoring module establishes a real-time monitoring frame according to the operating parameters, the real-time monitoring module dynamically monitors the real-time detection data with the number of the automatically monitored samples as a batch, and the real-time detection data of any batch is updated by one real-time detection data compared with real-time detection data of a preceding batch. The invention further discloses a dynamic monitoring method for quantitative detection and intelligent auditing. The real-time performance of system monitoring can be effectively enhanced.

Description

technical field [0001] The invention relates to the technical field of quantitative detection, in particular to a dynamic monitoring system and method for intelligent auditing of quantitative detection. Background technique [0002] Quality control behavior is a series of work carried out along with the testing work of samples to ensure the quality of sample testing. At present, most of the quality control methods used in the quantitative testing of laboratory departments are the quality control theory of Westgard theory. The selection of quality control rules is based on the efficacy function diagram and the operation process specification diagram, with the quality control product as the medium and the analysis batch as the unit. Perform quality control confirmation. The method also has some limitations: this method requires the use of quality control products, relatively small laboratories may not be able to purchase quality control products due to cost constraints, and s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG06Q10/06395G06Q50/22G16H10/40G16H40/20G16H40/63
Inventor 陶然王家健莫南勋胡志峰成尚涛
Owner 深圳金域医学检验实验室
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