Scientific data management systems (SDMS): a revolution in the laboratory world
In the current fast-paced scientific landscape, efficient data management solutions are essential. Scientific data management systems (SDMS) are at the heart of this ongoing digital revolution. SDMS enable laboratories to manage their data more efficiently while ensuring regulatory compliance.
Recent Posts
In today's world, where digitization is becoming increasingly important in all areas of life, laboratories in Europe must also succeed in making the transition to a data-driven way of working. A major challenge, especially and particularly for small laboratories. This is exactly where iLES comes in, a platform that helps labs master the transition to the digital world.
iLES, the iVention Lab Execution System, is an innovative platform that offers a wide range of features for the digital lab of the future. iLES seamlessly integrates laboratory information systems (LIMS), electronic laboratory notebooks (ELN), scientific data management systems (SDMS) and data management systems (DMS) on one user-friendly platform.
The main mission of iLES is to help laboratories optimize their workflows and improve their efficiency and quality. The platform enables laboratories to work seamlessly collaboratively on upcoming projects in a completely paperless manner across multiple locations.
A major benefit of iLES is its ability to build bridges between the so-called "islands of data" that are still far too often created in today's labs. Data islands occur when data is stored in isolation in different systems or departments and is not linked together. This can lead to inefficiencies and impact a lab's ability to make informed decisions. iLES solves this problem by providing a centralized platform where all data can be collected, analyzed and managed.
The use of iLES brings with it numerous new approaches to solving the problem:
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?
The Future of Lab Automation
Entities, as physical or digital objects and processes, play a crucial role in laboratory workflows. Their integration into digital laboratory systems can optimize processes and unlock automation potential. In this paper, we take a look at the key aspects of entities in the digital lab, how they contribute to increasing efficiency and productivity, and discuss future trends and challenges.