Robots for supporting employees in the diagnostic laboratory

A central feature of these advanced robotic solutions is their manufacturer openness and the comprehensive portfolio of analytical devices that can be seamlessly integrated. This flexibility ensures that laboratories, regardless of the origin of their analytical devices, can benefit from the advantages of robotics. The robots are capable of handling a variety of tasks, from pre-analytics to operating analytical devices, to post-analytics, and archiving. The robotics can autonomously navigate the laboratory, and no structural adjustments in the laboratory environment are necessary.

By connecting to the LIS (Laboratory Information System), the robots become an integral part of the laboratory workflow management system. This enables real-time communication between different analytical components, increasing efficiency, and minimizing sources of error. Employees can focus on more challenging and interpretative tasks, while repetitive and time-consuming work is handled by the robots.

The robots act as precise and reliable assistants, minimizing human errors and improving result reproducibility. Furthermore, continuous monitoring and analysis by the robotic systems allow early identification of irregularities or anomalies in the laboratory process, contributing to enhanced quality assurance.

The broad portfolio of manufacturer-open analytical devices supported by the robots gives laboratories the opportunity to diversify their analysis methods and adapt flexibly to changing requirements. This strengthens the competitiveness of laboratories in an ever-evolving medical landscape. The analyses focus on clinical chemistry, coagulation, hematology and immunohematology.

Overall, robots as support in the diagnostic laboratory represent a turning point in laboratory automation. Integration with the LIS and openness to analytical devices offer laboratories the chance to revolutionize their workflows and elevate diagnostics to a new level. This innovative technology promises not only increased efficiency but also higher accuracy and reliability in diagnostic analysis. Additionally, it can address issues such as workforce shortages.