Capacity planning with demand uncertainty for outpatient clinics

In this study, we develop a capacity planning model to determine the required number of physicians for an outpatient system with patient reentry. First-visit (FV) patients are assumed to arrive randomly to the system. After their first appointment, the FV patient may require additional appointments,...

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Main Authors: Nguyen, Thu Ba T., Sivakumar, Appa Iyer, Graves, Stephen C.
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2019
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在線閱讀:https://hdl.handle.net/10356/105629
http://hdl.handle.net/10220/50246
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機構: Nanyang Technological University
語言: English
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spelling sg-ntu-dr.10356-1056292023-03-04T17:20:37Z Capacity planning with demand uncertainty for outpatient clinics Nguyen, Thu Ba T. Sivakumar, Appa Iyer Graves, Stephen C. School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Appointment Lead-time OR in Health Services In this study, we develop a capacity planning model to determine the required number of physicians for an outpatient system with patient reentry. First-visit (FV) patients are assumed to arrive randomly to the system. After their first appointment, the FV patient may require additional appointments, and will then become a re-visit (RV) patient; after each appointment an RV patient will require subsequent visits with a given probability. The system must achieve a set of targets on the appointment lead-times for both FV and RV patients. Furthermore, the system must have sufficient capacity to assure that a given percentile of FV patients is admitted. We develop a deterministic model that finds the required capacity over a finite horizon. We establish the tractability of the deterministic model and show that it provides a reasonable approximation to the stochastic model. We also demonstrate the value from knowing the demands in terms of the required resources. These conclusions are numerically illustrated using real data from the Urology outpatient clinic of the studied hospital. Accepted version 2019-10-23T07:05:26Z 2019-12-06T21:54:52Z 2019-10-23T07:05:26Z 2019-12-06T21:54:52Z 2017 Journal Article Nguyen, T. B. T., Sivakumar, A. I., & Graves, S. C. (2018). Capacity planning with demand uncertainty for outpatient clinics. European Journal of Operational Research, 267(1), 338-348. doi:10.1016/j.ejor.2017.11.038 0377-2217 https://hdl.handle.net/10356/105629 http://hdl.handle.net/10220/50246 10.1016/j.ejor.2017.11.038 en European Journal of Operational Research © 2017 Elsevier B.V. All rights reserved. This paper was published in European Journal of Operational Research and is made available with permission of Elsevier B.V. 29 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Appointment Lead-time
OR in Health Services
spellingShingle Engineering::Mechanical engineering
Appointment Lead-time
OR in Health Services
Nguyen, Thu Ba T.
Sivakumar, Appa Iyer
Graves, Stephen C.
Capacity planning with demand uncertainty for outpatient clinics
description In this study, we develop a capacity planning model to determine the required number of physicians for an outpatient system with patient reentry. First-visit (FV) patients are assumed to arrive randomly to the system. After their first appointment, the FV patient may require additional appointments, and will then become a re-visit (RV) patient; after each appointment an RV patient will require subsequent visits with a given probability. The system must achieve a set of targets on the appointment lead-times for both FV and RV patients. Furthermore, the system must have sufficient capacity to assure that a given percentile of FV patients is admitted. We develop a deterministic model that finds the required capacity over a finite horizon. We establish the tractability of the deterministic model and show that it provides a reasonable approximation to the stochastic model. We also demonstrate the value from knowing the demands in terms of the required resources. These conclusions are numerically illustrated using real data from the Urology outpatient clinic of the studied hospital.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Nguyen, Thu Ba T.
Sivakumar, Appa Iyer
Graves, Stephen C.
format Article
author Nguyen, Thu Ba T.
Sivakumar, Appa Iyer
Graves, Stephen C.
author_sort Nguyen, Thu Ba T.
title Capacity planning with demand uncertainty for outpatient clinics
title_short Capacity planning with demand uncertainty for outpatient clinics
title_full Capacity planning with demand uncertainty for outpatient clinics
title_fullStr Capacity planning with demand uncertainty for outpatient clinics
title_full_unstemmed Capacity planning with demand uncertainty for outpatient clinics
title_sort capacity planning with demand uncertainty for outpatient clinics
publishDate 2019
url https://hdl.handle.net/10356/105629
http://hdl.handle.net/10220/50246
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