Regulations on the Accuracy Management of Laboratory Test Data

Is it something like this? The inspection system for test results: 1. The laboratory conducts random checks on the test results of each tester from time to time, verifies those results to ensure they are consistent, and if any doubts arise, the tester must redo the tests. 2 If the person in charge of the inspection or the department being inspected has doubts about the test results, or if there is a significant difference between the data obtained from two tests, a retest must be conducted, and the results should be compared and archived. 3. The laboratory conducts self-inspections of its testing activities on a quarterly basis, while the company carries out random inspections every six months. The same product can be sent to the provincial feed inspection agency for comparative testing. 4 At the end of each year, a summary is made of the quality of the testing work; records of this testing are kept, quality analysis is conducted, and recommendations for action are proposed.

Thank you. Is it necessary to have the samples tested externally for comparison in order to ensure the accuracy of the test results?

Depending on the specific needs, there are differences in the comparison costs at various levels: comparisons among a company’s own laboratory technicians, comparisons with laboratory technicians from other companies, and sending samples to institutions recognized within the industry for testing

For this data management, it is necessary to establish a large database. Focusing solely on determining whether a particular sample or set of data is correct or accurate is not very meaningful; comprehensive oversight is required. First, internal inspections: select highly skilled quality control personnel to oversee the data from internal sample tests. It’s not just about conducting random checks – it’s also important to identify the key technical aspects and provide guidance on how to handle them. This is what matters most, rather than simply relying on rewards or penalties. II. The company should establish a quality supervision team to oversee managers who are in charge of inspections, in order to prevent them from deliberately modifying or altering data. By maintaining such oversight on a continuous basis, there’s no reason to doubt the accuracy of the test results. Moreover, it’s important not to rely solely on test data when developing products; after the product is manufactured, those tests can only serve as a reference.

If there is indeed doubt about the quality of the product, then the quality team should send a few samples to an authoritative institution each month for reinspection and comparison

When it comes to testing errors, every set of data has industry-specific **standards, and there are plenty of them available online with just a quick search

Agree with the view above; the number of random inspections can be increased further.

Help President Kang out a bit. It’s not just the quality inspection data; managing the closed-loop data from procurement, production, and sales is difficult to analyze and improve without external assistance.