Implementation of an Advanced Automation System in the Laboratory Medicine Department.

Background: The implementation of advanced automation systems in the Laboratory Medicine Department at Asia University Hospital represents a significant shift from labor-intensive manual sample handling to a fully automated workflow. This study outlines the adoption of automation in both general and urine analysis systems and examines its impact on diagnostic throughput and patient care.

Methods: We implemented two automation systems: a sample classification workstation with six high-speed robotic arms for pre-analytical tasks, connected directly to the blood drawing counter, and a direct track system for urine analysis. These systems minimized manual handling and improved workflow efficiency. Effectiveness was evaluated by comparing pre- and post-implementation data on procedural steps and processing time.

Results: Automation reduced procedural steps in pre-analytical activities from eleven to eight and in urine analysis from twelve to eight. Processing time for pre-analytical activities decreased by 33% (from 2,370 to 1,590 seconds), while urine analysis time dropped by 36% (from 990 to 630 seconds), significantly enhancing laboratory efficiency and reducing turnaround time.

Conclusions: Automation significantly improved workflow efficiency and quality of care by minimizing errors and allowing lab technologists to focus on complex tasks. It also enhanced patient privacy during urine sample collection, underscoring the value of integrating advanced technologies into laboratory operations to meet the needs of modern healthcare.