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.
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
16 May 2018
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), .
(doi:10.1016/j.ejor.2017.11.038).
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
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
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Date deposited: 12 Dec 2017 17:30
Last modified: 16 Mar 2024 06:01
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Contributors
Author:
Thu Ba T. Nguyen
Author:
Appa Iyer Sivakumar
Author:
Stephen C. Graves
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