Using overbooking to manage no-shows in an Italian healthcare center

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Using overbooking to manage no-shows in an Italian healthcare center

BACKGROUND In almost all healthcare systems, no-shows (scheduled appointments missed without any notice from patients) have a negative impact on waiting lists, costs and resource utilization, impairing the quality and quantity of cares that could be provided, as well as the revenues from the corresponding activity. Overbooking is a tool healthcare providers can resort to reduce the impact of no...

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Airline Yield Management with Overbooking, Cancellations, and No-Shows

We formulate and analyze a Markov decision process (dynamic programming) model for airline seat allocation (yield management) on a single-leg flight with multiple fare classes. Unlike previous models, we allow cancellation, no-shows, and overbooking. Additionally, we make no assumptions on the arrival patterns for the various fare classes. Our model is also applicable to other problems of reven...

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Appointment Scheduling with Overbooking to Mitigate Productivity Loss from No-shows

The challenge of balancing the interests of patients with those of healthcare providers is increased when patients fail to show up for scheduled appointments. Overbooking appointments mitigates the lost productivity caused by no-shows but increases patient wait time and provider overtime. In this paper, simulation analysis is used to develop and test the performance of scheduling rules that are...

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Primary-Care Clinic Overbooking and Its Impact on Patient No-shows

Following the successful stories in the airline industry, many primary-care clinics have adopted overbooking to deal with their prevalent patient no-show problem. However, there has been very limited research, to the best of our knowledge, that analyzes the impact of overbooking on the major causes/factors of patient no-show and its implications. While overbooking has little impact on many rand...

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Panel Size and Overbooking Decisions for Appointment-based Services under Patient No-shows

Many service systems that work with appointments, particularly those in healthcare, suffer from high no-show rates. While there are many reasons why patients become no-shows, empirical studies found that the probability of a patient being a no-show typically increases with the patient’s appointment delay, i.e., the time between the call for the appointment and the appointment date. This paper i...

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ژورنال

عنوان ژورنال: BMC Health Services Research

سال: 2018

ISSN: 1472-6963

DOI: 10.1186/s12913-018-2979-z