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Laboratories produce vast amounts of data in many types and forms. Some of that data relates to the samples analyzed and the tests performed, some is the results of those tests, other data will be related to the people working in the lab, or the instruments and equipment used. All this data has the potential to inform and advance the business, or to be analyzed further using Artificial Intelligence or Machine Learning to drive deeper insight, but only if it can be put into context and delivered in a useful format to the people who need it to make informed decisions.
The Data Analytics Solution for Thermo Scientific SampleManager LIMS provides authorized users with a set of out-of-the-box dashboards, displaying key business and laboratory insights. Resource availability, stock information, location status and lab performance are displayed in a clear interactive format, with current status information and the ability to drill down for further detail and results. The profiling element of the Data Analytics solution determines the most impactful variables to optimize prediction accuracy. The system uses the results of previous tests applied to similar samples as inputs, creating a Machine Learning pipeline with predictive power.
In addition to the pre-configured dashboards in the Data Analytics Solution, any data stored in SampleManager LIMS can be displayed using graphs, charts or tables and collated together in dashboards to provide relevant information to key stakeholders. The powerful data visualization capabilities in SampleManager LIMS enable the user to configure dashboards and overviews, which can be made available to specific groups or users either on log in or on demand as needed.
Up-to-date overviews of lab health show resource availability, including instrument uptime and workload, analyst workload and stock availability.
View location and availability of resources, such as reagents and consumables, to drive advanced procurement.
Display overall key performance indicators for the lab.
For a selected location or sampling point the location is displayed and the user is provided with interactive views:
Provides an understanding of lab workload as well as any bottlenecks at each stage.
View the current job/sample pipeline to allow for investigations and removal of systemic roadblocks.
Knowing the number of samples a department has tested aides in predictive planning of both resources and materials.
Ensure proper management of incidents and non-conformances in the lab.
The Profiling capability available for the Data Analytics Solution provides an innovative way to predict the result of a yet to be executed binary test using historical data and novel Machine Learning (ML) based techniques. Anticipating the result of a test without conducting it reduces the number of samples tested by identifying and eliminating the need to perform redundant tests. It saves the laboratory money by generating a prediction for eligible samples without any cost or time, which in turn prevents the unnecessary use of expensive reagents and consumables. Scientists can take actions based on the anticipated result of the test, including failing samples early in the process.
This capability provides a no-code, easy-to-use framework, enabling users to create various models based on different data, interpret the results, and create their own predictions. The models can be automated easily to learn continuously and make predictions on new samples without user interaction.
LIMS designed to improve lab efficiency, speed turnaround time and enable compliance with standards such as ISO 17025. Standard ASTM methods are configured using the Laboratory Execution System (LES) to step analysts through procedures to ensure repeatable testing and quality results. Labs can rely on the LIMS security, electronic signature, and complete audit trail to enable compliance. Enterprise connectivity enables a holistic view of the organization, providing KPIs to decision makers to ensure quality, and automating actions to drive rapid product release.
