SampleManager Data Analytics Solution

Unlocking the hidden value in your data 

Dashboard shown is available in The Data Analytics Solution for SampleManager LIMS

Labs produce a wealth of data, covering a wide range of categories such as samples, tests, staff details, and equipment information. Yet, having copious amounts of data is not enough on its own.

 

To truly leverage the power of this data, labs need sophisticated Machine Learning (ML) and Artificial Intelligence (AI) tools. Additionally, they need the ability to display data and insights in a manner that resonates with stakeholders.

 

Real-time data visualization and configurable dashboards

The Data Analytics Solution for Thermo Scientific SampleManager LIMS Software offers pre-configured dashboards to approved users, delivering key business and laboratory insights. These dashboards provide a clear and interactive display of resources, inventory, location status, and lab performance. Users can easily access up-to-date status information and have the option to explore comprehensive details and results.

 

In addition to the pre-configured dashboards, all data within SampleManager LIMS Software can be visualized using graphs, charts, or tables, and compiled into customized dashboards. This allows you to present relevant and easily understandable information to stakeholders. Furthermore, you have the flexibility to instantly provide these dashboards and summaries to specific groups or users upon login or upon their request.

Business intelligence in the laboratory

Reduce retests

Offers an in-depth understanding of the number of costly retests and allows laboratories to identify the root causes, driving substantial cost reduction and operational efficiencies.

  • Enables a clear view of retests performed by various factors, including day, type of analysis, personnel, and instrument, allowing laboratories to identify patterns and potential inefficiency sources.
  • Provides valuable understanding of the prevalence of data quality issues within specific categories.

Support compliance

Ensures proper planning and organization of forthcoming laboratory compliance tasks around instruments, stocks, and personnel.

  • Presents informative visualizations and KPIs that simplify audits and reporting, helping labs allocate resources efficiently, plan maintenance schedules, and optimize personnel training.
  • Helps meet regulatory standards and operational necessities promptly, reducing compliance-related bottlenecks, and ensuring a smoother workflow.

Monitor performance

Provides an overview of the laboratory performance, enabling users to easily investigate any bottlenecks and take immediate action.

  • Monitors process performance in real-time, providing progress updates and highlighting potential issues.
  • Instant overview of any processes’ durations.
  • Tracks and analyzes changes in process duration over time, identifying any trends or deviations.

Sample processing time

Offers valuable insights into the speed and progress of samples throughout their entire lifecycle, enabling efficient monitoring and optimization of sample velocity.

  • Verifies that average durations of key steps are in line with lab targets.
  • Displays the durations of sample processes categorized by lab/group or another category selected by the user.
  • Easily identifies delayed samples, their bottlenecks, and operational inefficiencies.

Instrument utilization

Reduces operating costs and minimizes the risk of revenue loss by identifying underutilized equipment, as well as equipment that is critical to maintaining laboratory throughput.

  • Highlights usage difference between low and high-usage instruments, providing valuable insights into utilization patterns.
  • Flags instruments that have been inactive for an extended period.
  • Displays key instrument performance metrics enabling proactive instrument maintenance.

Incident management

Enables laboratories to rapidly identify areas of non-conformance, allowing them to identify the root causes and implement preventive measures to uphold high standards of quality and safety.

  • Provides a clear view of incidents over specified time frames, and visibility into days of high occurrence.
  • Facilitates the identification of incidents by status.
  • Provides valuable insights into the prevalence of issues in specific categories.

Job or sample backlog

Enables lab managers to prioritize samples or jobs that are falling behind schedule, thereby expediting workflow processes to ensure the lab stays on track.

  • Easily see jobs or samples that are on time or delayed along with the number of days from receipt to authorization.
  • Highlights jobs or samples where all associated testing has not been completed and authorized by the assigned due date.

Component trend analysis

Allows analysts to identify unexpected patterns and outliers, make timely corrective measures, and optimize laboratory operations for improved accuracy and quality of results.

  • Allows visualization of the most recent results of selected analyses and components.
  • Compare multiple analyses and components simultaneously.
  • Identify and address trend anomalies in real-time, allowing prompt corrective measures to be taken.

Key performance indicators

Allows lab managers to identify any areas that require attention or improvement through a comprehensive overview of KPIs.

  • Allows for real-time monitoring of sample/job queues and identification of potential bottlenecks.
  • Analysis of delayed samples, jobs, stocks, personnel, equipment, and processes exceeding expected durations.
  • Provides an in-depth understanding of retest proportions and incident tracking for proactive quality management.

Add machine learning and business intelligence capabilities to your lab

The Data Analytics Solution for SampleManager LIMS Software combines the power of Exploratory Data Analysis (EDA), Profiling, and Forecasting capabilities to optimize prediction accuracy and create a robust Machine Learning pipeline. 

  • The EDA capability allows laboratories to gain a comprehensive understanding of their data, identify anomalies, and optimize workflows. 
  • The Profiling element utilizes advanced Machine Learning algorithms to predict the result of a test and enhances prediction accuracy by determining the most impactful variables based on historical data. 
  • The Forecasting capability predicts forthcoming sample volumes, expected tests, instrument category runs, and stock usage. 

This integrated approach ensures that laboratories can make data-driven decisions, optimize resource allocation, and achieve their goals with greater accuracy and efficiency.

Exploratory data analysis

The Exploratory Data Analysis (EDA) capability provides laboratories with a comprehensive set of tools to understand and analyze their data. This capability enables laboratories to gain valuable insights through summary statistics, variable distributions, relationships, and visualizations. Here's some of the EDA tools that can benefit your laboratory:

  • Univariate analysis.
  • Bivariate analysis.
  • Principal Component Analysis.
  • Linear Regression.

The EDA capability offers several benefits to laboratories:

  • Understand and visualize laboratory data.
  • Identify anomalies and redundant tests.
  • Optimize workflows.
  • Start the Machine Learning pipeline.

 

Profiling capability

The Profiling capability offers an innovative way to predict the result of a categorical or numerical test using historical data and advanced Machine Learning (ML) techniques. Labs are empowered to make informed decisions based on anticipated test results, leading to cost and time savings, early detection of failed samples, and improved overall efficiency. It 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.

 

Forecasting capability

The Forecasting capability provides an innovative way to predict the forthcoming received samples for the current month and the next one allowing for effective resource allocation, restructuring, and goal setting. From the forecast results, the capability also calculates estimates for the expected tests, instrument category runs, and stock usage for the current month and the next one. Being able to anticipate the samples to be received and the expected tests, instruments, and stock usage in the future gives countless advantages to the laboratory, such as:

  • Hire/train/relocate personnel sufficient for future needs.
  • Replenish or stop buying related stocks.
  • Restructure the lab according to the incoming type of samples.
  • Define future goals such as future sales, workflow durations and others.