All case studies Biolights · Healthcare · Kyiv, Ukraine

Laboratory Automation

Lab operations automated end to end: processing time cut in half, diagnostic accuracy up 30%.

Client
Biolights
biolights.ua
Industry
Healthcare
Market
Kyiv, Ukraine
What we did
  • Laboratory Information System (LIS) Implementation
  • Robotics and Automation
  • Data Analytics Integration

Results

  • 50%

    Processing Time: Reduced by 50%

  • 30%

    Accuracy: Increased by 30%

Challenge

Biolights is a medical laboratory in Kyiv processing thousands of diagnostic samples. Demand was growing, but their workflows were still largely manual — slow, error-prone, and impossible to scale. We automated their lab operations end to end: deployed a Laboratory Information System, introduced robotic analyzers, and integrated analytics. Processing time dropped by half, diagnostic accuracy went up 30%.

More patients, more samples, same manual processes. Lab technicians were tracking workflows by hand, results were delayed, and error rates were climbing. For a medical lab, inaccuracy isn’t just inefficiency — it directly affects patient care. Biolights needed automation that could handle growing volume without sacrificing precision.

Approach

  1. LIS Implementation

    Deployed a Laboratory Information System to manage the full lifecycle — from sample intake to result delivery. Every workflow tracked, every sample accounted for.

  2. Robotics and Automation

    Introduced robotic analyzers that process samples automatically, eliminating manual handling and the errors that come with it.

  3. Data Analytics

    Built dashboards to monitor lab performance in real time — throughput, turnaround times, error rates — so the team can spot problems before they affect patients.

Outcome

Processing time cut in half. Diagnostic accuracy up 30%. The lab now handles significantly higher sample volumes without adding headcount or compromising quality.

  • Processing Time: Reduced by 50%
  • Accuracy: Increased by 30%
  • Capacity: Higher sample volumes with same team size
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