Abstract
Motivated by unbalanced demand for healthcare services at the General Hospitals (GH) and the Community Healthcare Centers (CHC) in a hierarchical healthcare system, we study a problem of optimally allocating specialist healthcare resources in the GH for two classes of patients. Adopting a finite-horizon dynamic programming approach, we derive the optimal booking limits policy to inform the resource allocation strategy between early low priority patients and potential future higher priority patients. Through numerical analysis and a case study, we show that the booking limits policy outperforms two widely used allocation policies, especially when the system is subject to high demand.
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