Equity-Aware Geospatial AI for Forecasting Demand-Driven Hospital Locations in Germany

Pant, Piyush, Suntoro, Marcellius William, Siddiqua, Ayesha, Sharif, Muhammad Shehryaar, Ahmed, Daniyal

arXiv.org Artificial Intelligence 

This paper presents EA-GeoAI, an integrated framework for demand forecasting and equitable hospital planning in Germany through 2030. We combine district-level demographic shifts, aging population density, and infrastructure balances into a unified Equity Index. An interpretable Agentic AI optimizer then allocates beds and identifies new facility sites to minimize unmet need under budget and travel-time constraints. This approach bridges GeoAI, long-term forecasting, and equity measurement to deliver actionable recommendations for policymakers.

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