Outpatient appointment scheduling with unpunctual patients
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1982-2002 |
Journal / Publication | International Journal of Production Research |
Volume | 56 |
Issue number | 5 |
Online published | 16 Aug 2017 |
Publication status | Published - Mar 2018 |
Link(s)
Abstract
This study examines the design of appointment scheduling policies with considerations of not only the conventional factors, for example, the random consultation time and multiple patient types, but also of a new factor, particularly, patient unpunctuality, that is, one patient may arrive earlier or later than the appointment time. Patient unpunctuality negatively affects the appointment scheduling system, for example, such behaviour, reduces provider productivity and clinical efficiency, increases health care costs, and limits the ability of a clinic to serve its patients population by reducing the clinic’s effective capacity. In this study, while considering patient unpunctuality, we first introduce an analytical model and show the optimality of a fixed-interval policy for a simplified two-patient model. Motivated by the result, we propose an easy-to-implement heuristic policy with a simple structure using a simulation framework to improve the performance of the appointment scheduling system. The simulation result shows that our policy is overwhelmingly preponderant in current practice. We also measure the effect of patient unpunctuality and other factors. Actual data are used to add realism to the input parameters, and practical guidelines are developed for appointment scheduling.
Research Area(s)
- appointment scheduling, heuristic policy, patient unpunctuality, simulation, within-day scheduling
Citation Format(s)
Outpatient appointment scheduling with unpunctual patients. / Zhu, Han; Chen, Youhua (Frank); Leung, Eman; Liu, Xing.
In: International Journal of Production Research, Vol. 56, No. 5, 03.2018, p. 1982-2002.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review