This paper proposes a Markov decision process model for optimizing the scheduling of sequential appointments with patient preferences.
Approximate dynamic programming approaches for appointment scheduling with patient preferences. Artif Intell Med. 2018 Apr:85:16-25. doi: 10.1016/j.artmed ...
This paper proposes a Markov decision process model for optimizing the scheduling of sequential appointments with patient preferences. In contrast to existing ...
This paper proposes a Markov decision process model for optimizing the scheduling of sequential appointments with patient preferences. In contrast to existing ...
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Mar 10, 2020 · We study a dynamic appointment scheduling problem with cancellations and overbooking motivated by a medical clinic, where appointment ...
In this paper, we aim to optimise appointment scheduling with respect to access time, taking fluctuating patient arrivals and unavailabilities of physicians ...
The dynamic program is solved via an approximate dynamic programming approach using an LP-formulation with an affine approximation of the value function. In ...
A dynamic programming (DP) model is formulated to optimize appointment scheduling with patient preferences and choices. The DP model is transformed to an ...
We consider a rolling-horizon appointment scheduling problem with multiple patient classes. The problem is formulated as an infinite horizon discounted ...
Jun 16, 2023 · We formulate this model as a Markov decision process and propose an approximate dynamic programming approach to provide robust scheduling ...