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.
@article{arxiv.2510.10640,
title = {Equity-Aware Geospatial AI for Forecasting Demand-Driven Hospital Locations in Germany},
author = {Piyush Pant and Marcellius William Suntoro and Ayesha Siddiqua and Muhammad Shehryaar Sharif and Daniyal Ahmed},
journal= {arXiv preprint arXiv:2510.10640},
year = {2025}
}