September 18, 2025HealthcareOpen Access

An Optimization-Based Framework to Dynamically Schedule Hospital Beds in a Pandemic

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An optimization model reduces healthcare costs and patient rejections in hospitals, highlighting pandemic management strategies.

The framework reduces healthcare costs by more than 50%, addressing patient rejection rates during crises.
Key evidence shows a significant impact on resource allocation by minimizing logistical expenses across facilities.
The model integrates hospital bed optimization with epidemic forecasting to enhance healthcare system resilience.
Combining optimization and forecasting aids in strategic healthcare policy decisions during pandemic responses.

Eddin et al. (2025) studied this question.

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