Optimizing Hospital Capacity During Pandemics: A Dual-Component Framework for Strategic Patient Relocation
The COVID-19 pandemic has placed immense strain on hospital systems worldwide, leading to critical capacity challenges. This research proposes a two-part framework to optimize hospital capacity through patient relocation strategies. The first component involves developing a time series prediction model to forecast patient arrival rates. Using historical data on COVID-19 cases and hospitalizations, the model will generate accurate forecasts of future patient volumes. This will enable hospitals to proactively plan resource allocation and patient flow. The second com- ponent is a simulation model that evaluates the impact of different patient relocation strategies. The simulation will accoun...
| Authors | Sadaf Tabatabaee, Hicham El Baz, Mohammed Khalil Ghali et al. |
|---|---|
| Primary category | cs.AI |
| Published | 16 March 2026 |
| Last updated at source | 16 March 2026 |
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