Context:

A healthcare client frequently ran out of beds due to unpredictable patient flow. Administrators lacked a data driven method to forecast demand and allocate resources efficiently.

Resolution:

Our team carefully analyzed the situation and used R’s forecast and tsibble packages to build a time series model that predicted ICU occupancy. Visualizations helped staff understand peak times and seasonal trends.

Result:

ICU bed shortages dropped by 30 percent, scheduling improved, and emergency cases were handled more smoothly. The hospital gained a reliable forecasting tool for future planning.