Modularity optimization (MO) is shown to provide better localization of emergency general surgery (EGS) care regions and hospital communities compared to traditional Dartmouth Health Referral Regions (HRRs). The study analyzed data from over 1.2 million adults with EGS conditions in California and New York, using the Louvain community detection method to identify regional EGS networks (RENs). MO identified fewer, but more accurate, RENs compared to HRRs, with higher modularity scores and better connectivity. MO also showed higher localization of care and smoother patient flow. The study suggests that MO can help in developing coordinated regional care systems for high-risk EGS patients.
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Mapping EGS Care Networks With Modularity Optimization
