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

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.

Publication Details

Journal
ArXiv.org
Published
2025-10-12
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
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article

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

ArXiv.org
Healthcare Operations and Scheduling Optimization
article

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

article en

Abstract

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.

ArXiv.org
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Healthcare Operations and Scheduling Optimization
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Equity-Aware Geospatial AI for Forecasting Demand-Driven Hospital Locations in Germany · ArXiv.org (2025) | TGRS Research Map | TGRS