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Patient-to-room assignment (PRA) is a scheduling problem in decision supportfor large hospitals. This work proposes Integer Programming (IP) formulationsfor dynamic PRA, where either full, limited or uncertain information onincoming patients is available. The applicability is verified through acomputational study. Results indicate that large, real world instances can besolved to a high degree of optimality within (fractions of) seconds.Furthermore, different objectives are considered to ensure validity acrossvarying practical requirements. So far, previous approaches for IP in PRA haveonly been applicable for small instances or special cases. Subsequently, weshow that the modelling of gender conflicts and transfers are crucial modellingchoices that determine whether the corresponding IPs are solvable in reasonabletime.

Structural Insights and an IP-based Solution Method for Patient-to-room Assignment under Consideration of Single Room Entitlements