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Real-time data visualization and analytics unlock hidden value in your data
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.
Add machine learning and business intelligence capabilities to your lab
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.
Unlock even more information from your data
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.
Laboratory resource management
Up-to-date overviews of lab health show resource availability, including instrument uptime and workload, analyst workload and stock availability.
- Assess capacity to take on additional work
- Shift allocation of work where staff are unavailable
- Plan instrument and equipment maintenance during quieter periods
- Monitor workload over time to better understand and plan laboratory resources
Stock overview
View location and availability of resources, such as reagents and consumables, to drive advanced procurement.
- Accurately plan and spend only on resources which are required when and where they are needed
- Show various locations so supplies can be sourced and reallocated if needed
- Enables improved understanding of usage and distribution of stock to better equip labs for their work
Laboratory performance
Display overall key performance indicators for the lab.
- Volume of samples at different process stages
- Percentage on-time analyses
- Average time taken at each stage
- Volume of incoming samples can be used to enable resource planning and allocation as new work comes into the lab
Location views
For a selected location or sampling point the location is displayed and the user is provided with interactive views:
- Show updated results as each location is selected
- View multiple analyte results by sampling point
- Filter to show results over a specified time period
Job or sample status
Provides an understanding of lab workload as well as any bottlenecks at each stage.
- Overviews of the number of jobs/samples received, completed and authorized over a specified time period
- Also view sample status by location or project
- Ensure smooth operation and enable continued improvements to the business
Job or sample backlog
View the current job/sample pipeline to allow for investigations and removal of systemic roadblocks.
- See delayed and number of days from receipt to authorized
- Displays jobs or samples where all associated testing has not been completed and authorized by the assigned due date
Process performance
Knowing the number of samples a department has tested aides in predictive planning of both resources and materials.
- Displays the volume of processes by lab/group or individual over a specified time frame.
- A laboratory manager can determine if resource adjustments are necessary to meet demand
Incidents
Ensure proper management of incidents and non-conformances in the lab.
- Easily see when and where incidents have occurred over a specified time frame
- Provides an insight into the prevalence of issues in a particular location or group
- Option to drill down into details for further investigation
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.
Thermo Scientific SampleManager LIMS software
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.
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