Hospital Resource Allocation Predictive Modeling

Create a comprehensive PostgreSQL database solution that integrates historical patient admission data, staff scheduling information, and real-time hospital resource metrics. Design a predictive modeling framework using advanced window functions and machine learning-compatible views that can forecast department-level resource requirements with 85%+ accuracy. Include mechanisms for handling seasonal variations, emergency scenario simulations, and dynamic staff allocation recommendations.