Now showing items 1-7 of 7
Altering the environment to improve appointment system performance
Current research on clinic performance is focused primarily on appointment scheduling rather than shaping the clinical environments. The goal of this study is to investigate the impact of environmental factors on the total ...
An integrated analysis of capacity allocation and patient scheduling in presence of seasonal walk-ins
(Springer Nature, 2019-06)
This study analyzes two decision levels in appointment system design in the context of clinics that face seasonal demand for scheduled and walk-in patients. The macro-level problem addresses access rules dealing with ...
A universal appointment rule in the presence of no-shows and walk-ins
This study introduces a universal “Dome” appointment rule that can be parameterized through a planning constant for different clinics characterized by the environmental factors—no-shows, walk-ins, number of appointments ...
Predicting the performance of queues–A data analytic approach
Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, ...
Assessment of patient classification in appointment system design
(Production and Operations Management Society, 2008-05)
This paper investigates two approaches to patient classification: using patient classification only for sequencing patient appointments at the time of booking and using patient classification for both sequencing and ...
A universal appointment rule with patient classification for service times, no-shows and walk-ins
This study evaluates patient classification for scheduling and sequencing appointments for patients differentiated by their mean and standard deviation of service times, no-show, and walk-in probabilities. Alternative ...
Managing clinic variability with same-day scheduling, intervention for no-shows, and seasonal capacity adjustments
(Taylor & Francis, 2020-01-02)
This study investigates demand and capacity strategies for managing clinic variability. These include (i) same-day scheduling to control random walk-ins, (ii) no-show intervention, where the clinic calls advance-booked ...
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