Intra-day Dynamic Rescheduling under Patient No-shows Shetty, Aditya Groenevelt, Harry Tilson, Vera 2021-12-24T17:51:41Z 2021-12-24T17:51:41Z 2022-01-04
dc.description.abstract Existing work on appointment scheduling assumes that appointment times cannot be updated once they have been assigned. However, advances in communication technology and the adoption of online (as opposed to in-person) appointments make it possible for appointments to be flexible. In this paper, we describe an intra-day dynamic rescheduling model that adjusts upcoming appointments based on observed no-shows. We formulate the problem as a Markov Decision Process in order to compute the optimal pre-day schedule and the optimal policy to update the schedule for every scenario of no-shows. We also propose an alternative formulation based on the idea of 'atomic' actions that can solve for the optimal policy more efficiently. Based on a numerical study, we estimate that using intra-day dynamic rescheduling can lead to a 5-7% decrease in expected cost when compared to static scheduling.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.448
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Decision Support for Healthcare Processes and Services
dc.subject appointment scheduling
dc.subject dynamic scheduling
dc.subject no-shows
dc.subject rescheduling
dc.title Intra-day Dynamic Rescheduling under Patient No-shows
dc.type.dcmi text
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