Enhancing structural resilience in healthcare through patient flow network
Lu Zhong, Lior Rennert, Sen Pei, Jianxi Gao

TL;DR
This study analyzes how cross-regional patient flow networks in the U.S. healthcare system improved resilience during COVID-19 by redistributing patient demand, highlighting the importance of regional coordination in disaster response.
Contribution
It introduces a novel analysis of billions of medical records to map patient flow networks and quantifies how regional coordination enhances healthcare resilience during crises.
Findings
Cross-regional patient flow increased from 3.53% to 4.59% during COVID-19.
Redistribution absorbed 63% of excess facility stress, reducing clinician demand.
Strengthening patient flow networks could further improve system resilience.
Abstract
Large-scale disasters, such as pandemics and climate-related events, test the resilience of healthcare systems, that is, their ability to ensure patient care under extreme strain. These crises intensify stress on the system, meaning sudden surges in demand for hospital beds, staff, and critical supplies, while increasing pressure on clinicians and other frontline providers. Most existing studies measure resilience using broad, system-wide outcomes, but often overlook how coordination between regions helps manage stress and keep care accessible. In this study, we analyzed billions of electronic medical records to construct cross-regional patient flow networks in the U.S., mapping how patients moved across healthcare facilities. During the COVID-19 pandemic, we observed that cross-regional flow rose to 4.59%, compared to the pre-pandemic level of 3.53%. This redistribution absorbed, on…
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Taxonomy
TopicsTelemedicine and Telehealth Implementation · Digital Mental Health Interventions
