The University of Southampton
University of Southampton Institutional Repository

Capacity planning with demand uncertainty for outpatient clinics

Capacity planning with demand uncertainty for outpatient clinics
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, 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.
0377-2217
338-348
Nguyen, Thu Ba T.
e9f85a8c-c454-4ccb-9b34-fea01ce8c7bd
Sivakumar, Appa Iyer
c607fe5e-8bbd-4362-8263-221430952546
Graves, Stephen C.
96cb010d-fe53-49ed-a1b3-291c30987b93
Nguyen, Thu Ba T.
e9f85a8c-c454-4ccb-9b34-fea01ce8c7bd
Sivakumar, Appa Iyer
c607fe5e-8bbd-4362-8263-221430952546
Graves, Stephen C.
96cb010d-fe53-49ed-a1b3-291c30987b93

Nguyen, Thu Ba T., Sivakumar, Appa Iyer and Graves, Stephen 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).

Record type: Article

Abstract

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.

Text
Capacity planning with demand uncertainty for outpatient clinics _manuscripts - Accepted Manuscript
Download (2MB)

More information

Accepted/In Press date: 19 November 2017
e-pub ahead of print date: 26 November 2017
Published date: 16 May 2018

Identifiers

Local EPrints ID: 416299
URI: http://eprints.soton.ac.uk/id/eprint/416299
ISSN: 0377-2217
PURE UUID: 43ed688a-7e6b-4e66-a46d-d95777902971

Catalogue record

Date deposited: 12 Dec 2017 17:30
Last modified: 16 Mar 2024 06:01

Export record

Altmetrics

Contributors

Author: Thu Ba T. Nguyen
Author: Appa Iyer Sivakumar
Author: Stephen C. Graves

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×