Multi-agent modeling of resource allocation under competence and emergency constraints in the hospital environment

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Abstract

The management of hospitals is characterized by a high degree of diversity and daily complexity of the various healthcare activities, reflecting both resource constraints and patient satisfaction. In this article we discuss the role of resource allocation modeling in hospitals, as the scheduling of its staff become troublesome, because of several elements that it builds upon, and this end up depleting a lot of time and resources. Our objective is to propose a multi-agent approach through scenarios while taking into account the various constraints related to competence and medical emergency. The simulation of the planning process dynamics and allocation of these resources is developed under the Netlogo platform. Finally, the approach is illustrated by examples inspired by actual cases experienced in a public health hospital.

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El Hankouri, M., Kharbach, M., & Ouardouz, M. (2018). Multi-agent modeling of resource allocation under competence and emergency constraints in the hospital environment. In Lecture Notes in Networks and Systems (Vol. 25, pp. 59–68). Springer. https://doi.org/10.1007/978-3-319-69137-4_6

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