ROBOSCAN

ROBOSCAN

Internet of Medical Things (IoMT)
ROBOSCAN
ROBOSCAN

Information

ROBOSCAN is the intelligent assistant of the pre-analytical phase. Designed by ROBOSAN to bridge the gap between industrial engineering precision and laboratory medicine, this compact portable device redefines how samples are verified before they ever reach the central laboratory. In a landscape where up to 70% of diagnostic errors occur before analysis, ROBOSCAN shifts the quality control paradigm upstream, directly to the point of collection. It acts as an automated firewall, ensuring that only compliant samples enter the logistics and analytical workflow. Powered by proprietary algorithms, ROBOSCAN performs standardized visual inspection of the tube in just two seconds. It automatically verifies: • Sample Identity: Reads and validates the barcode, ensuring 100% readability and matching with LIS orders. • Tube Consistency: Recognizes cap color to verify that the correct container has been used for the requested test. • Fill Volume: Measures the blood level to ensure it meets the required specifications for accurate analysis. • Centrifugation Status: In case of centrifugated samples, it checks the centrifugation state to prevent processing errors downstream. ROBOSCAN is not just hardware; it is a connected node in the ROBOSAN ecosystem. Every scan generates a time-stamped digital record of the sample's condition at the very moment of check-in. This data is transmitted to our Web Platform, granting laboratories full real-time visibility over their entire network of collection points. Key Benefits: • End-to-end Traceability: Secures the chain of custody from the first mile. • Drastic Error Reduction: Identifies non-compliant samples immediately, preventing costly re-work and patient recalls. • Standardization: Replaces subjective human visual checks with rigorous, industrial-grade metrics. • Compliance: CE-IVD-A certified device. With ROBOSCAN, laboratories transform the pre-analytical phase from a "black box" into a transparent, data-driven process.

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