Integrated surgery planning and bed allocation with multiple routes of post-surgical care, with application to a military hospital’s orthopaedic department
Integrated surgery planning and bed allocation with multiple routes of post-surgical care, with application to a military hospital’s orthopaedic department
This paper presents an integrated surgery scheduling and post-surgical bed planning problem for a standard hospital setting. The setting gives rise to a general healthcare modelling problem with a number of innovations with respect to the literature. The model includes multiple post-surgical recovery trajectories involving possible stays at the intensive (ICU) or semi-intensive care unit (SICU) and allows the decision maker to assign a bed allocation plan that considers the maximum length of stays at both SICU and ICU. The approach is designed to ensure a seamless patient flow, avoiding surgery cancellations due to insufficient downstream resources, and enables tactical planning that considers the long-term balance between demand and surgery provision across all specialties. To validate the model and investigate the sensitivity with respect to model parameters and the availability of resources, we use a series of experiments that were based on the actual operation of a military hospital’s orthopaedic department. The results illustrate the demand pressures, as an optimised allocation with the current demand and resources results in an occupation of 96.5%. We also show that increases in demand should be matched by a similar percentage increase in operating theatre capacity in order to keep the occupation below 100%.
OR in health services, healthcare modelling, master surgery schedulling, mathematical programming, surgery planning
Carneiro, Gustavo
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Ferreira Filho, Virgílio J.M.
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Bahiense, Laura
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Arruda, Edilson F.
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Carneiro, Gustavo
3b9feea7-8178-4a08-b560-833c234d3065
Ferreira Filho, Virgílio J.M.
6853ee2e-9675-43be-afcb-77d1677716e9
Bahiense, Laura
48a5c2a4-d43b-4445-983f-e0637753074e
Arruda, Edilson F.
8eb3bd83-e883-4bf3-bfbc-7887c5daa911
Carneiro, Gustavo, Ferreira Filho, Virgílio J.M., Bahiense, Laura and Arruda, Edilson F.
(2024)
Integrated surgery planning and bed allocation with multiple routes of post-surgical care, with application to a military hospital’s orthopaedic department.
Pesquisa Operacional, 45.
(In Press)
Abstract
This paper presents an integrated surgery scheduling and post-surgical bed planning problem for a standard hospital setting. The setting gives rise to a general healthcare modelling problem with a number of innovations with respect to the literature. The model includes multiple post-surgical recovery trajectories involving possible stays at the intensive (ICU) or semi-intensive care unit (SICU) and allows the decision maker to assign a bed allocation plan that considers the maximum length of stays at both SICU and ICU. The approach is designed to ensure a seamless patient flow, avoiding surgery cancellations due to insufficient downstream resources, and enables tactical planning that considers the long-term balance between demand and surgery provision across all specialties. To validate the model and investigate the sensitivity with respect to model parameters and the availability of resources, we use a series of experiments that were based on the actual operation of a military hospital’s orthopaedic department. The results illustrate the demand pressures, as an optimised allocation with the current demand and resources results in an occupation of 96.5%. We also show that increases in demand should be matched by a similar percentage increase in operating theatre capacity in order to keep the occupation below 100%.
Text
POPE-Final
- Accepted Manuscript
More information
Accepted/In Press date: 22 December 2024
Keywords:
OR in health services, healthcare modelling, master surgery schedulling, mathematical programming, surgery planning
Identifiers
Local EPrints ID: 498315
URI: http://eprints.soton.ac.uk/id/eprint/498315
ISSN: 1678-5142
PURE UUID: 9e627f61-65a0-42a1-9e00-826dbd6d7304
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Date deposited: 14 Feb 2025 17:45
Last modified: 14 Mar 2025 05:01
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Contributors
Author:
Gustavo Carneiro
Author:
Virgílio J.M. Ferreira Filho
Author:
Laura Bahiense
Author:
Edilson F. Arruda
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