In clinical analysis laboratories a large number of sample test tubes are processed during routine diagnostics. Traditional methods used for sample registration and tracking involve a high degree of human interaction, and therefore these methods are inherently inefficient and prone errors.
Laboratory Information Management Systems are intended to reduce human overhead in such processes, improving efficiency, data quality and availability while reducing costs. Cyber-Physical Systems represent an evolution of embedded and networked control systems where the components have a direct interaction with the physical world; these systems integrate computational, storage and communication functionalities along with object control and tracking in the physical domain.
This thesis describes the design and implementation of a novel and innovative Cyber-Physical approach for a Laboratory Information Management System featuring full automation in the process of digitally registering and tracking biomedical samples across the physical domain of a clinical laboratory analysis.
Identification of samples is performed by RFID-labelled test tubes and sample containers. Numerous RFID readers are present within the laboratory area in order to keep track of sample status and movements across different workstations. XBee wireless technology is used for communication between RFID readers and a number Intel Edison Computer-On-Modules which handle data operations against a distributed database system in several local and remote servers, in order to provide data redundancy and failover protection.