Healthcare Case Study
Quillstream Medical Group
A property matching system that improved listing-to-buyer fit.
-31%Admin Time Saved
The Challenge
Where things stood before
Quillstream 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 was the kind of issue that showed up in day-to-day frustration long before it showed up in a report.
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 property matching system that improved listing-to-buyer fit, built specifically around what Quillstream Medical Group needed.
- Structured so Quillstream Medical Group's own team could monitor and maintain it going forward
- Designed around Quillstream Medical Group's actual data and workflow, not a generic template
- Delivered within a 6-week timeline without cutting scope
- Validated thoroughly before deployment to avoid production surprises
Results
The impact, by the numbers
-31%
Admin Time Saved
91.3%
Model Accuracy
-34%
Patient Wait Time
+45%
Staff Satisfaction
Tech Stack
Built with
Pythonscikit-learnSQLGIS APIs
Ridgeback Capital
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