Real-Time Healthcare Resource Allocation Optimization

Create a predictive Python model using machine learning algorithms to dynamically optimize hospital resource allocation during pandemic scenarios. Develop a Flask-based dashboard that ingests real-time patient data, ICU capacity, ventilator availability, and staffing levels. Implement predictive modeling using scikit-learn to forecast potential resource constraints 72 hours in advance, with a confidence interval visualization. The solution should generate automated alerts and recommended reallocation strategies.