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Home/AI for Manufacturing/Emberline Medical Group
Healthcare Case Study

Emberline Medical Group

An anomaly detection system that identified a recurring production issue.

-33%Admin Time Saved
Emberline Medical Group digitallyscaled
ClientEmberline Medical Group
IndustryHealthcare
Timeline7 weeks
ServicesAI for Manufacturing
The Challenge

Where things stood before

Emberline Medical Group's biggest obstacle was administrative and clinical workflows that hadn't kept pace with the volume they were handling — something their team had tried to patch more than once without lasting success.

It wasn't a small fix — the underlying approach needed to change, not just the surface.

The Solution

What we built

Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.

The result was straightforward: an anomaly detection system that identified a recurring production issue, built specifically around what Emberline Medical Group needed.

  • Structured so Emberline Medical Group's own team could monitor and maintain it going forward
  • Validated thoroughly before deployment to avoid production surprises
  • Delivered within a 7-week timeline without cutting scope
  • Benchmarked against clear, agreed-upon success metrics from day one
Results

The impact, by the numbers

-33%
Admin Time Saved
99.0%
Model Accuracy
-41%
Patient Wait Time
+21%
Staff Satisfaction
Tech Stack

Built with

PythonPyTorchOpenCVMQTT

“We'd talked about doing something with AI for a long time without knowing where to start. Having it scoped properly made all the difference — -33% admin time saved within a few months.”

AM
Alistair Moreau

Director of Strategy, Emberline Medical Group

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