The convergence of geospatial intelligence (GEOINT), geographic information systems (GIS), and multimodal artificial intelligence (AI) is forging a new paradigm in healthcare analytics. This integration, often termed GeoAI, addresses the critical need to unify diverse data sources from electronic health records and medical imaging to environmental exposures and social determinants of health within their spatial and temporal context. Health is inherently spatial, influenced by where individuals live, work, and the environments they encounter. By embedding spatial intelligence within multimodal AI frameworks, we can move beyond isolated patient-level predictions to a holistic understanding of population health dynamics, revealing where and why certain health outcomes occur. This chapter explores the foundational principles of this synthesis, detailing how GIS provides the structural framework for spatial data, while multimodal AI, inspired by frameworks like holistic AI in medicine (HAIM), enables the fusion of heterogeneous data modalities. The resulting geo-multimodal AI systems facilitate powerful applications, including predictive disease surveillance, environmental health risk mapping, optimization of healthcare infrastructure, and precision public health interventions. These systems demonstrate significant improvements in predictive accuracy and operational efficiency, as evidenced by case studies in respiratory health and infectious disease forecasting. However, this transformative potential is tempered by significant challenges. Technical hurdles include data heterogeneity, computational scalability, and model interpretability. Ethically, the integration of sensitive health and location data raises profound concerns regarding privacy, algorithmic bias, and health equity. To realize the full potential of GeoAI in healthcare, future efforts must prioritize the development of standardized frameworks, privacy-preserving technologies like federated learning and robust ethical governance to ensure these powerful tools advance equitable and intelligent health ecosystems for all.