INTRODUCTION. Patient scheduling in hospitals is faced with a high amount of complexity [4][5] due to the inherent dynamics of the processes.
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Work on appointment sequencing and scheduling under uncertainty has almost exclusively dealt with the case whereby a single server processes all jobs. Another.
On the one hand, over-scheduling results in healthcare overtime, extended patient wait times, and bed shortages, which can significantly impact health outcomes.
Mar 3, 2022 · This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various ...
Aug 1, 2019 · We consider appointment scheduling and sequencing under a time-varying number of servers, in a data-rich environment where service durations and punctuality ...
Feb 6, 2024 · Uncertainties in Patient Scheduling. The smooth execution of processes according to predetermined schedules cannot always be guaranteed, and ...
Aug 28, 2015 · Hancock et al. [6] developed a computer-based simulator of the hospital systems, which is used for predicting the size of nursing staff ...
This study addressed the problem of scheduling walk-in patients in real time. Outpatient clinics encounter uncertainty in patient demand.
Sep 7, 2023 · We investigate a stochastic distributed appointment assignment and scheduling problem, which consists of assigning appointments to distributed ...
Mar 8, 2019 · This study addressed the problem of scheduling walk-in patients in real time. Outpatient clinics encounter uncertainty in patient demand.