Healthcare system resilience and adaptability to pandemic disruptions in the United States
Lu Zhong, Dimitri Lopez, Sen Pei, Jianxi Gao

TL;DR
This study analyzes US healthcare system resilience and adaptability during COVID-19, revealing moderate resilience, significant racial disparities, and the importance of physician availability for system robustness.
Contribution
It introduces an empirical framework to quantify healthcare system adaptability and resilience using electronic medical records, highlighting key factors like physician abundance.
Findings
US healthcare systems show moderate resilience and high adaptability.
Black and Hispanic populations were more severely impacted by disruptions.
Physician abundance is crucial for healthcare system resilience.
Abstract
Understanding healthcare system resilience has become paramount, particularly in the wake of the COVID-19 pandemic, which imposed unprecedented burdens on healthcare services and severely impacted public health. Resilience is defined as the system's ability to absorb, recover from, and adapt to disruptions; however, despite extensive studies on this subject, we still lack empirical evidence and mathematical tools to quantify its adaptability (the ability of the system to adjust to and learn from disruptions). By analyzing millions of patients' electronic medical records across US states, we find that the COVID-19 pandemic caused two successive waves of disruptions within the healthcare systems, enabling natural experiment analysis of the adaptive capacity for each system to adapt to past disruptions. We generalize the quantification framework and find that the US healthcare systems…
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Taxonomy
TopicsDisaster Response and Management
