Scale, Automation and Moats in Diagnostics

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RBC BlueBay’s Ben Yeoh examines how operational scale underpins competitive advantage in a flagship U.S. diagnostics lab 

  • Processing over 100,000 samples daily, automation lowers error rates and raises marginal profitability once fixed costs are absorbed.

  • Workflow design enables more tests per sample, driving revenue intensity without proportional cost growth.

  • Culture and technician retention remain decisive in a 24/7, high-skill environment where automation complements—not replaces—lab staff.

Is the moat technological—or organisational? The full note dissects the operating model.

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