Healthcare Staffing Optimization Predictive Model

Build an advanced Excel model that predicts optimal staffing levels across different healthcare departments using machine learning-inspired formulas. Create a dynamic simulation that accounts for patient volume, seasonal variations, staff skill levels, and budget constraints. Implement Monte Carlo simulation techniques to generate multiple staffing scenarios, with VBA macros that automatically generate recommendation reports and highlight potential understaffing or overstaffing risks.