This paper develops a framework and proposes heuristic dynamic policies for scheduling patient appointments taking into account the fact that patients may cancel or not show up for their appointments. In a simulation study that considers a model clinic, which is created using data obtained from an actual clinic, we find that the heuristics proposed outperform all the other benchmark policies, particularly when the patient load is high compared with the regular capacity. We find that the Open Access policy, a popular scheduling paradigm proposed recently which calls for "meeting today's demand today," can be a reasonable choice when the patient load is relatively low, supporting earlier findings in the literature.
Liu et al. REF develop a framework and propose heuristic dynamic policies for scheduling patient appointments by considering that patients may cancel or not show up for their appointments.
Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations
Manufacturing & Service Operations Management
Manufacturing & Service Operations Management
Economics Computer Science