Abstract
Nowadays, emergency department encounters several difficulties to provide quality service to patients, especially inpatient unit that faces a big number of patients random arrivals with different ages and acuities. Patients must be examined and treated in a restricted time, while the constraint of this unit which is limited capacity (human and materiel resources) given the big daily load creates high length of stay, long waiting times and then overcrowding. Those factors impact patient satisfaction and service quality. So, our goal is patients’ length of stay and waiting time reduction by increasing inpatient unit service rate according to care load. In this paper, we present our approach which consists essentially in determining the adequate combinations of human and materiel resources to be attributed to each inpatient unit room, in order to insure and provide the optimal service rate. This approach is performed using queuing theory.
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Jebbor, S., El Afia, A., Chiheb, R. (2018). Reducing Crowding in Hospital Inpatient Unit Using Queuing Theory. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds) Advanced Information Technology, Services and Systems. AIT2S 2017. Lecture Notes in Networks and Systems, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-69137-4_40
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