Robotic automation of coagulation analysis.

Area of Science:

• Clinical Laboratory Science
• Biomedical Engineering
• Automation and Robotics

Background:

• Laboratory automation systems (LAS) are widely adopted for preanalytical and analytical tasks in clinical settings.
• Automation of citrated whole blood analysis for hemostasis disorder diagnosis remains limited.
• Manual analysis of coagulation factors is labor-intensive, necessitating automation for rapid turnaround times.

Purpose of the Study:

• To develop an automated coagulation workstation for efficient analysis of citrated whole blood.
• To address the labor-intensive nature of coagulation factor analysis.
• To improve diagnostic capabilities for hemostasis disorders through automation.

Main Methods:

• Employed discrete event simulation to assess throughput and identify bottlenecks.
• Utilized a three-dimensional animated computer model for workstation design.
• Constructed a prototype workcell integrating a mobile robot, articulated robotic arm, and coagulation analytical system.

Main Results:

• The systematic approach facilitated the design and construction of a functional automated coagulation workstation.
• Simulation and modeling aided in optimizing the workcell's potential throughput and identifying design challenges.
• The prototype demonstrated the feasibility of automating complex coagulation analyses.

Conclusions:

• The developed automated coagulation workstation offers a viable solution for labor-intensive coagulation testing.
• Automation of citrated whole blood analysis can enhance efficiency and turnaround time in clinical laboratories.
• This robotic system represents a significant advancement in automating hemostasis disorder diagnostics.