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a high-throughput medical diagnostics laboratory in Germany

Medical Lab Cuts Calculated Processing Time 25% With Robots

See how a German medical diagnostics laboratory used collaborative robots to cut calculated processing time 25% and handle 160 samples per hour.

25%
faster calculated processing
160/hr
sample throughput
24/7
continuous operation
2
cleanroom robot arms

Based on a documented real-world deployment. Figures are from public reporting; the organization is not named.

More Volume, Less Repetitive Handling

A high-throughput medical diagnostics laboratory in Germany wanted to automate most pre-analysis and post-analysis work while keeping skilled technicians close to the instruments. Its hospital laboratories ran across three shifts, and repetitive sample handling intensified an existing shortage of qualified laboratory staff.

The wider laboratory operation processed more than 1.8 million orders and about 8.5 million tests annually with over 300 employees. Its catalog exceeded 5,000 services, spanning toxicology, microbiology and several branches of clinical diagnostics.

Large laboratories could already rely on heavily connected automation. The harder brief was a compact, economical system suitable for smaller hospital laboratories serving facilities with up to 600 beds, without enclosing the robots away from technicians.

  • Increase sample throughput and return results to clinicians sooner
  • Automate routine blood-sample handling before and after analysis
  • Preserve direct staff access to analyzers in a shared workspace
  • Identify unreadable or inconsistent samples before they entered the analytical workflow

A Compact Cell Built Around the Specimen Journey

The laboratory and its automation partner developed a compact workbench equipped with two cleanroom-qualified robot arms. The documented project reached completion in a year, with equipment selected for speed, repeatability, accuracy and a 1.40-meter reach.

Technicians placed tubes into defined racks. From there, the robots identified specimens, loaded centrifuge cups, inserted balancing tubes, transferred racks to analytical instruments, retrieved completed samples, resealed them and moved them into archive storage.

A camera read cap color and scanned each tube identification number. Exceptions went to designated error areas, while valid requests were downloaded from the laboratory information system and routed through the required workflow.

Safety-certified monitoring tracked movement inside a predefined area. When a person entered, the robots slowed to a safe speed and accelerated again after the person moved away, allowing technicians to approach the analyzers without a physical enclosure.

The published account does not describe a phased rollout, operator-training curriculum, maintenance schedule or field-service arrangement. Those are essential procurement questions, but attributing undocumented practices to this deployment would overstate the evidence.

  • Map the complete path from specimen receipt through analysis and archiving
  • Connect sample identification with the laboratory information system
  • Automate centrifuge balancing, instrument loading and completed-sample handling
  • Route identification discrepancies into a controlled exception process
  • Use monitored speed reduction to support close staff access

A Faster Flow With Staff Still in the Loop

The laboratory calculated that processing time was 25% faster after automation. The workbench handled up to 160 samples per hour and was configured for uninterrupted 24/7 operation, supporting the stated goal of availability across 365 days a year.

The gain came from linking the specimen journey into a continuous sequence, not merely automating an isolated pick. Identification, centrifugation, analyzer loading, retrieval, resealing and archiving became parts of the same coordinated flow.

Working conditions improved as technicians spent less time on repetitive tube handling and had more capacity for demanding laboratory work. The source describes these ergonomic and workload benefits qualitatively. It does not publish a quantified error reduction, staffing reduction, return on investment or payback period.

How Service Robot Co. Applies the Lesson

This is a documented real-world example analyzed by Service Robot Co., not a deployment performed by Service Robot Co. Its clearest lesson for US laboratories is that the robot arm is only one component. Workflow design, cleanroom suitability, safety controls, instrument interfaces, exception handling and long-term support determine if the cell becomes dependable laboratory infrastructure.

Service Robot Co. is a full-service, OEM-neutral commercial robot integrator for US businesses. We select equipment across manufacturers, arrange financing, manage robot deployment and integration, train operating teams and service deployed units through a nationwide US engineer network. Buyers get a single accountable vendor across the lifecycle.

Commercial paths can include collaborative robot arm rental, cobot rental, robot leasing for business, monthly payment programs, robot as a service and outright purchase. The right structure follows the validated workload, utilization profile and service requirements, rather than forcing the laboratory into a predetermined machine or contract.

A disciplined commercial robot pilot program should establish sample eligibility, throughput targets, exception rules, staff access and acceptance criteria before expansion. The operating package should also define maintenance included in the agreement, remote triage, on-site dispatch and the robot maintenance service plan before go-live.

Frequently asked questions

This deployment used safety-certified monitoring that tracked movement in a predefined area. The arms slowed when a person entered and accelerated after the area cleared, allowing staff to approach analyzers without a physical enclosure. Every new cell still requires a site-specific risk assessment and validated operating procedures.

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