Healthcare Case Study
Hollowfield Health
A vision system that improved accuracy after struggling in real-world lighting conditions.
-28%Admin Time Saved
The Challenge
Where things stood before
Hollowfield Health came to us with a problem that had been building for a while: administrative and clinical workflows that hadn't kept pace with the volume they were handling.
The problem was quietly getting more expensive to ignore every month it went unaddressed.
The Solution
What we built
Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.
From there, a vision system that improved accuracy after struggling in real-world lighting conditions, built specifically around what Hollowfield Health needed.
- Benchmarked against clear, agreed-upon success metrics from day one
- Built using Python and PyTorch for a stable, maintainable foundation
- Delivered within a 7-week timeline without cutting scope
- Designed around Hollowfield Health's actual data and workflow, not a generic template
Results
The impact, by the numbers
-28%
Admin Time Saved
91.9%
Model Accuracy
-20%
Patient Wait Time
+29%
Staff Satisfaction
Tech Stack
Built with
PythonPyTorchOpenCVTensorRT
Ironwood Consulting
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