Experimental data management system

Abstract

The invention discloses an experimental data management system, which is characterized in that a data input module is used for manually inputting text data into a computer, or equipment such as a mobile hard disk, a memory card and an optical disk are directly inserted into the computer for data input; a data transmission module receives the input data, carries out proper format conversion on thedata and then transmits the data to a processing module; the processing module carries out a series of algorithm processing on the data, classifies and integrates the data; and the processed data is transmitted to a storage module. According to the experimental data management system, the data transmission module directly transmits binary '1' or '0' electric signals transmitted by data terminal equipment (DTE) to a circuit of the data processing module; data mapping is applied to the data after data definition processing, the safety degree and the persistence degree of data storage are increased, the secret key and the antivirus form of the module are protected, the safety degree of data storage is increased, and viruses are prevented from damaging the processed data.

Description

technical field [0001] The invention relates to the technical field of experimental data processing, and the specific field is an experimental data management system. Background technique [0002] Quality control (referred to as quality control) is very critical in clinical laboratories: the current assessment of clinical laboratory detection errors is basically for a single point (single concentration level. But the actual detection concentration is an interval. But if for a The error assessment of continuous intervals is very cumbersome and not suitable for the routine work of clinical laboratories. Therefore, under normal conditions, clinical laboratories cannot fully monitor their own detection errors, which will bring great risks to patients. For routine testing According to the national standard (GB / T20468-2006 Guidelines for Indoor Quality Control of Quantitative Determination in Clinical Laboratories), the working clinical laboratory needs to establish corresponding ...

AI Technical Summary

Problems solved by technology

In clinical laboratories, since it is impossible to estimate the linear range when there is a systematic error, all experimental results in the entire range are generally rejected, and all samples need to be corrected after the systematic error is corrected. From the above, the current management system for experimental result data Not perfect enough, the processing is not detailed enough, the data is not safe

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