Blockchain in Healthcare Today December 6, 2025
Abstract
The demand for health services among the elderly with chronic diseases in rural ethnic minority areas in northwest Yunnan continues to rise, but there is a significant imbalance in the use of services. Existing studies have mostly focused on disease combinations, ignoring the temporal and geographical differences in medical behavior, making it difficult to accurately identify high-risk and service-mismatched populations. This paper applies GNN (Graph Neural Network) to construct a heterogeneous graph of patients, institutions, and service behaviors, model the dynamic path of individuals in the service system, identify high-frequency and lost contacts, and help optimize resources and service equity. This paper constructs a heterogeneous health service utilization graph network composed of patients, medical institutions, and geographical units and...
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