The Digital Lab

In the complex world of laboratory automation, machines, software and data work together seamlessly to produce precise and efficient results. Entities" play a crucial role in this network. In this context, entities are defined units of data or information that are used in automated laboratory processes. They can be as simple as a single measured value or as complex as a complete patient profile.

Entities are essential for increasing the efficiency of laboratory processes. By identifying and categorizing data into entities, laboratory systems can process information faster and more accurately. For example, an automated system can recognize an entity defined as "blood glucose level" and process it accordingly to provide accurate test results.

In the digital age, the concept of the lab has fundamentally changed. One of the most innovative concepts to emerge in recent years is the LEAN Lab. But what exactly is a LEAN Lab and why is it more relevant than ever in 2023?

 What are the benefits for your lab?

The digital laboratory of the future relies on automated technologies to improve laboratory efficiency, productivity and overall research quality. The focus is often on connectivity between an existing ERP system and LIMS. LIMS stands for "Laboratory Information Management System." A LIMS is software used by laboratories to manage and organize processes and data related to laboratory activities. LIMS can encompass a variety of functions, such as sample and test management, workflow monitoring, results tracking, laboratory inventory management, reporting, and regulatory compliance. By using LIMS, laboratories can make their work more efficient and accurate by automating manual processes, standardizing data collection, improving traceability of samples and results, and enhancing quality assurance through automated controls and audits.

One of the key benefits of SAP interfaces to LIMS in the digital lab is the improvement of data integration and analysis. ERP systems can collect, manage and integrate data from different laboratory systems to generate unified data. This helps companies make decisions based on sound data. Integrating laboratory and business data provides companies with a comprehensive view of their operations and helps them respond quickly to changes in the market.

Another important function of ERP systems is to optimize business processes. The integration of laboratory systems with SAP ERP systems simplifies the process of collecting and analyzing laboratory data. Automating routine tasks and workflows in laboratory systems and ERP systems saves time and resources and reduces errors. By automating processes, companies can also reduce costs by minimizing manual intervention and repetition.

SAP interfaces to LIMS also allow for improved traceability. Integrating LIMS with ERP systems improves traceability of materials and processes from raw material extraction to final product. This helps companies quickly identify and resolve quality issues and avoid product recalls.

What's your experience in the lab? Have you had any experience connecting LIMS to your ERP? Write us about your experiences - we look forward to a constructive exchange!

Process optimization in the laboratory ensures that experiments are performed faster, more efficiently and more cost-effectively. There are many different ways to optimize processes in the laboratory, for example by using automated systems, optimizing workflows or introducing standardization measures. Process optimization can also help improve the quality of experiments by minimizing manual errors. If you are interested in how to optimize lab processes to achieve better results, then you should read on!

Automate Your Lab with a Lab Execution System

A Lab Execution System (LES) is a software approach that makes lab experiments faster, more reproducible, and more efficient. With a LES, experiments can be automated, minimizing manual work. In addition, the system can document all steps and decisions, improving the reproducibility of experiments. A LES can also help make better use of resources such as chemicals and equipment and improve the quality of experiments. With an LES, all data generated during an experiment can be centralized and managed, making it easier to analyze and share data.