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Efficient hospital bed management is essential for optimizing healthcare resource utilization, improving patient care, and reducing operational costs. This study addresses the persistent challenges of bed allocation imbalances-where some departments face chronic shortages while others experience underutilization-by proposing a cross-departmental bed sharing optimization model. The model is designed based on the Case Mix Index (CMI) and focuses on dynamically matching surplus and shortage departments to improve resource allocation. Using the Gurobi solver, the optimization process balances bed utilization rates and case complexity, allowing hospitals to prioritize different objectives. Through this flexible approach, the model provides a comprehensive strategy for improving hospital bed utilization, reducing patient wait times, and enhancing the overall efficiency and fairness of resource management in healthcare systems.
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Jiang et al. (2025) studied this question.
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