Healthcare Case Study
Underpass Medical Group
A grading assistance tool that gave teachers meaningful time back.
-29%Admin Time Saved
The Challenge
Where things stood before
Underpass Medical Group 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.
Their team suspected AI could help but weren't sure where to actually start.
The Solution
What we built
We started by getting a clear picture of exactly where things were breaking down before proposing anything.
What we ultimately delivered was a grading assistance tool that gave teachers meaningful time back, built specifically around what Underpass Medical Group needed.
- Delivered within a 9-week timeline without cutting scope
- Validated thoroughly before deployment to avoid production surprises
- Structured so Underpass Medical Group's own team could monitor and maintain it going forward
- Built using Python and PyTorch for a stable, maintainable foundation
Results
The impact, by the numbers
-29%
Admin Time Saved
92.7%
Model Accuracy
-37%
Patient Wait Time
+29%
Staff Satisfaction
Tech Stack
Built with
PythonPyTorchLMS APIsSQL
Vertexa Capital
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