Healthcare Case Study
Threadline Health
A staffing forecast model that better matched scheduling to actual demand patterns.
-46%Admin Time Saved
The Challenge
Where things stood before
Before working with us, Threadline 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.
Competitors and peers seemed to have this figured out already, which only made it more frustrating.
The Solution
What we built
We started by getting a clear picture of exactly where things were breaking down before proposing anything.
From there, a staffing forecast model that better matched scheduling to actual demand patterns, built specifically around what Threadline Health needed.
- Delivered within a 8-week timeline without cutting scope
- Structured so Threadline Health's own team could monitor and maintain it going forward
- Benchmarked against clear, agreed-upon success metrics from day one
- Built using Python and Prophet for a stable, maintainable foundation
Results
The impact, by the numbers
-46%
Admin Time Saved
96.1%
Model Accuracy
-31%
Patient Wait Time
+34%
Staff Satisfaction
Tech Stack
Built with
PythonProphetscikit-learnSQL
Umberfield Consulting
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