Publication Type
Conference Proceeding Article
Publication Date
9-2021
Abstract
This study proposes a systematic approach to the construction of a simulation model to support decision-making concerning the capacity limit and staffing configurations at the paediatric eye clinic in Singapore under the COVID-19 pandemic situation. During the pandemic, the clinic must ensure that the operations are aligned to the safe-distancing regulations put in place by the Ministry of Health while coping with the demand. We developed simulation models to examine the ‘asis’ process and proposed numerous ‘to-be’ processes for new clinic configurations to operate under the pandemic conditions. We combined scenario-thinking and simulation optimization to determine the additional manpower and physical resource requirements to enable the decision-makers at the clinic to better plan the necessary for continuous care to the young patients in a populated city, while coping with the healthcare demands during the pandemic
Discipline
Databases and Information Systems
Research Areas
Information Systems and Management
Publication
Proceedings of the 2021 IEEE International Smart Cities Conference (ISC2)
Identifier
10.1109/ISC253183.2021
Publisher
IEEE
City or Country
USA
Citation
TAN, Kar Way; GOH, Bee Keow; and GUNAWAN, Aldy.
Redesigning patient flow in paediatric eye clinic for pandemic using simulation. (2021). Proceedings of the 2021 IEEE International Smart Cities Conference (ISC2).
Available at: https://ink.library.smu.edu.sg/sis_research/6563
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.