Political and practical challenges impede access to primary healthcare in the Philippines, with approximately 50utilizes Geographic Information System (GIS) tools and artificial intelligence (AI) to thoroughly analyze hospital accessibility, focusing on Olongapo City, Zambales, Philipines. Using QGIS, current hospital distribution was mapped, and the spatial availability of healthcare services was evaluated through location-allocation analysis. Land Use Semantic Segmentation Models were developed to consider land suitability for establishing healthcare infrastructure. The methodology involves data pre-processing, shortest route analysis, and AI models for automatic land-use categorization. This research provides insights for optimizing resource allocation under the Universal Healthcare Act of 2019, aiming to enhance accessibility and potentially impact job availability and the national gross domestic product positively.
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Ramos et al. (2024) studied this question.
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