A Comparison of Traditional and Open-Access Policies for Appointment Scheduling
Manufacturing & Service Operations Management
Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations
Manufacturing & Service Operations Management
Quality--Speed Conundrum: Trade-offs in Customer-Intensive Services
Management Science
Adaptive Appointment Systems with Patient Preferences
Manufacturing & Service Operations Management
Fast evaluation of appointment schedules for outpatients in health care
ASMTA'11 Proceedings of the 18th international conference on Analytical and stochastic modeling techniques and applications
OM Forum---The Vital Role of Operations Analysis in Improving Healthcare Delivery
Manufacturing & Service Operations Management
Commentaries to “The Vital Role of Operations Analysis in Improving Healthcare Delivery”
Manufacturing & Service Operations Management
Manufacturing & Service Operations Management
Appointment Scheduling Under Patient No-Shows and Service Interruptions
Manufacturing & Service Operations Management
Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions
Operations Research
A sequential GRASP for the therapist routing and scheduling problem
Journal of Scheduling
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Many primary care offices and other medical practices regularly experience long backlogs for appointments. These backlogs are exacerbated by a significant level of last-minute cancellations or “no-shows,” which have the effect of wasting capacity. In this paper, we conceptualize such an appointment system as a single-server queueing system in which customers who are about to enter service have a state-dependent probability of not being served and may rejoin the queue. We derive stationary distributions of the queue size, assuming both deterministic as well as exponential service times, and compare the performance metrics to the results of a simulation of the appointment system. Our results demonstrate the usefulness of the queueing models in providing guidance on identifying patient panel sizes for medical practices that are trying to implement a policy of “advanced access.”