Pycube’s sample tracking solution automates sample journey to improve tracking accuracy and timeliness, reduces the risk and occurrence of lost patient specimens, and supports continuous quality improvement and audit compliance while minimizing the opportunity for human error. Unlike sample tracking products that rely on manual entry or unreliable barcode labels, burden staff with added workflow steps, and provide only limited information to support quality improvement and audit compliance.

Pycube is a dynamic company dedicated to transforming business operations through digital solutions that offer unparalleled visibility and insight. Specializing in digitizing and analyzing existing processes, Pycube equips organizations with actionable insights that foster superior decision-making. The company’s comprehensive approach enables continuous improvements, automation, and enhanced monitoring to optimize operational efficiencies. With a particular focus on healthcare, Pycube’s software and services significantly improve the quality of care and ease daily challenges faced by hospital staff. Their solutions effectively digitize assets and workflows, streamline operations, and automate processes, making Pycube a pivotal ally in operational and healthcare management.

Pycube’s solutions are not just another EHR system; they are designed to complement and enhance these systems by focusing on Sample Journey Tracking and operational efficiency, which are often not the primary focus of traditional EHRs. While EHRs are indispensable for clinical data management, Pycube specializes in the digital tracking and management of clinical samples, such as pathalogy tests which are critical to healthcare operations. This focus includes features like real-time tracking and custodianship and integration with EMR — features that empower healthcare providers to reduce sample losses and patient anxiety.

1. Automated tracking of sample location and movement by proximity-based, passive RFID technology. 
2. On-demand information about real-time sample status to easily locate samples and prepare for sample arrival.  
3. Proactive notification when samples have not arrived when and where they are expected  
4. On demand quality improvement metrics to support continuous improvement initiatives  
5. On demand evidence generation to support audit compliance