Patient flow networks absorb healthcare stress during pandemic crises

Abstract: Disasters, such as the recent COVID-19 pandemic, impose recurrent and heterogeneous stress on healthcare systems, necessitating the redistribution of stress to enhance healthcare resilience. However, existing studies have been hindered by limited datasets and approaches for assessing its absorptive capacity - defined as the system's ability to absorb stress by redistributing patient flows. This study addresses this gap by analyzing patient flow networks constructed from billions of electronic medical records and introducing an approach to quantify network absorptivity under crisis conditions. Our analysis of U.S. healthcare systems reveals that during the COVID-19 pandemic, cross-regional patient flows increased by 3.89%, a 0.90% rise from pre-pandemic levels. The networks exhibited an average absorptivity of 0.21, representing a 10% increase over pre-pandemic conditions. Flow networks with higher connectivity and heterogeneity showed a greater capacity to alleviate system burdens. These empirical and analytical insights underscore the critical role of proactive patient flow management in strengthening healthcare resilience during crises.