SampleManager Data Analytics Solutions

IImprove sample quality and optimize resources via a personalized Quality Control Analyst AI Agent with the Autonomous Test Revisor Solution for SampleManager LIMS Software. Build advanced AI models to identify anomalies in test results and samples, tagging them for review or other user-defined actions. This solution enhances and automates the quality control process, supporting 'review-by-exception' to improve laboratory efficiency by employing advanced AI models. The ATR not only identifies anomalies but also provides valuable insights through dashboards, helping users understand data distributions, trends and potential causes.

The ATR Solution offers:

• Improved quality control: Leverages AI to detect anomalies in test results and samples, helping to ensure only the most accurate and reliable data.
• Speed: Accelerates the review process by automatically flagging irregularities, enabling quicker decision-making.
• Cost savings: Reduces manual labour and minimizes errors, leading to lower operational costs.

Key features:

• Automated: The AI agent is integrated within the sample lifecycle and autonomously analyses the quality without user intervention.
• Personalized: Learns the characteristics of the laboratory´s samples and builds a personalized agents for each type of sample.
• Explanatory: Provides detailed insights into anomalies through comprehensive dashboards, enhancing understanding of data and processes.

The AI 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 patterns, and optimize workflows. 
• The profiling element utilizes advanced Machine Learning algorithms to predict the result of a test and provides insights to the lab 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 helps to ensure that laboratories can make data-driven decisions, optimize resource allocation, and achieve their goals with greater accuracy and efficiency.

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 are 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

The profiling capability offers an innovative way to predict the result of a categorical or numerical test using historical data and advanced Machine Learning 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.

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