CloudLIMS, an advanced configurable cloud-based SaaS LIMS, accelerates biobanking, clinical research, cannabis and testing laboratory operations by efficiently managing laboratory data and automating laboratory workflows on a cloud platform. The latest version of CloudLIMS, version 1.78, includes features that can help testing laboratories better meet the quality control requirements of ISO/IEC 17025:2017. The highlights of this version are the ability to add QC samples and compare their test results with other test samples, and the ability to customize the bar graph in the test report to provide a more informative visual overview of the test results.
Manage Test Results of Quality Control (QC) Samples to Identify Analytical Errors: QC samples are critical for ensuring the reliability and accuracy of test results. To check any potential issues, such as improper calibration of analytical equipment, faulty reagent kits, etc., that may adversely impact the accuracy of test results, QC samples are subjected to the same treatment as the test samples to validate the test run. This procedure enables testing laboratories to report consistent, accurate and comparable results. While configuring a new sample type in CloudLIMS, you can now classify the sample type as a QC sample. You can add multiple samples under the QC sample type, enter test results for each, and save the results as a template if you would like to use the same set of QC samples in the future. You can also include the QC sample test results in the test report to report for quality assurance.
Enhanced Graphical Reporting Flexibility: You can now include the flagging range for each analyte either above or below the bar graph, depending on your result reporting requirement. The analyte names and their observed values are now included just below each bar in the bar graph, providing a visual overview of the test results.
Client Portal Services Extended: After logging in to the client portal, you can now associate a subject with each sample added, giving more control when logging samples. This functionality is also particularly useful for collections sites to specify the source while registering samples.