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Healthcare
Nursing Staff Forecasting / Market Mix Modeling
Time-series and ML models to forecast patient volumes and optimize nurse staffing, reducing overtime and inefficiency.
Staffing Efficiency Improvement
22
%
Forecast Accuracy
95
%
Overtime Reduction
30
%
The Challenge
Hospitals face 20% over/under-staffing leading to significant inefficiency and increased costs.
Our Solution
Time-series forecasting for patient volume and acuity-based staffing optimization to align staff with demand and acuity.
TECHNOLOGIES USED
PythonSARIMAProphetVertex AIBigQueryLooker Dashboard
Ideal For
Hospital networks
Nursing agencies
Healthcare management
Visual Insights