A Method for Identifying Medical Consortiums Based on Dynamic Distance-Based Community Detection

Medical Consortias (MCs) are networks that co-ordinate healthcare providers across different levels of care to deliver efficient, patient-centered services. This study addresses ongoing challenges in resource distribution within MCs, despite their expansion and positive impact on health care in China. Significant disparities, particularly between urban a nd rural areas, persist. To tackle these issues, the study introduces a dynamic distance-based community detection algorithm aimed at optimizing patient-hospital networks within MCs. This approach seeks to equitably distribute healthcare resources and improve service delivery in underserved rural regions, ensuring timely and appropriate care for all patients, regardless of location.