Abstract
Hospital management may encounter situations where patients are turned away because all beds are occupied, and medical management is shut down due to insufficient beds. Inadequate funding or poor performance of resources often contributes to this situation. This article is devoted to using queuing theory to reduce waiting time in hospital allocation. Over time, hospital management was faced with the problem of allocating beds for various in-house medical services, as patient admissions and demand for medical services increased. This article presents the complex analysis of resource allocation in hospital management through systems integration, mathematical models of cutoff values using select circle line, and variation by quality on the same basis. This research demonstrates how to allocate hospital beds with respect to services required by hospital managers. Hospital beds are the main resources managed in hospitals. However, the management strategies adopted in practice or discussed in the literature do not clearly show inconsistencies in methods and associated costs.
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Vashishth, T.K., Chaudhary, S., Sharma, V. (2023). Optimum Utilization of Bed Resources in Hospitals: A Stochastic Approach. In: Manju, Kumar, S., Islam, S.M.N. (eds) Artificial Intelligence-based Healthcare Systems. The Springer Series in Applied Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-031-41925-6_7
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DOI: https://doi.org/10.1007/978-3-031-41925-6_7
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