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Home/Recommendation Engines/Yarrowfield Health
Healthcare Case Study

Yarrowfield Health

A recommendation rebuild that fixed a cold-start problem for new users.

-38%Admin Time Saved
Yarrowfield Health digitallyscaled
ClientYarrowfield Health
IndustryHealthcare
Timeline6 weeks
ServicesRecommendation Engines
The Challenge

Where things stood before

Before working with us, Yarrowfield Health was dealing with administrative and clinical workflows that hadn't kept pace with the volume they were handling, and it was starting to cost them real business.

Their team suspected AI could help but weren't sure where to actually start.

The Solution

What we built

Our approach focused on the root cause rather than the most visible symptom.

What we ultimately delivered was a recommendation rebuild that fixed a cold-start problem for new users, built specifically around what Yarrowfield Health needed.

  • Structured so Yarrowfield Health's own team could monitor and maintain it going forward
  • Designed around Yarrowfield Health's actual data and workflow, not a generic template
  • Delivered within a 6-week timeline without cutting scope
  • Built using Python and PyTorch for a stable, maintainable foundation
Results

The impact, by the numbers

-38%
Admin Time Saved
95.7%
Model Accuracy
-25%
Patient Wait Time
+26%
Staff Satisfaction
Tech Stack

Built with

PythonPyTorchRedisSQL

“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 — -38% admin time saved within a few months.”

CY
Cassian Yalcin

Founder, Yarrowfield Health

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