Healthcare Case Study
Ironclad Medical Group
A document processing system that automated manual loan application review.
-37%Admin Time Saved
The Challenge
Where things stood before
When Ironclad Medical Group first reached out, administrative and clinical workflows that hadn't kept pace with the volume they were handling was the issue sitting at the top of their list.
Competitors and peers seemed to have this figured out already, which only made it more frustrating.
The Solution
What we built
Our approach focused on the root cause rather than the most visible symptom.
From there, a document processing system that automated manual loan application review, built specifically around what Ironclad Medical Group needed.
- Structured so Ironclad Medical Group's own team could monitor and maintain it going forward
- Designed around Ironclad Medical Group's actual data and workflow, not a generic template
- Built using Python and scikit-learn for a stable, maintainable foundation
- Benchmarked against clear, agreed-upon success metrics from day one
Results
The impact, by the numbers
-37%
Admin Time Saved
99.5%
Model Accuracy
-48%
Patient Wait Time
+29%
Staff Satisfaction
Tech Stack
Built with
Pythonscikit-learnSQLMLflow
Junction Capital
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