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Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis

Authors:

A. Gür,

A. Sen,

M. ZaeffererAuthors Info & Claims

GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Pages 293 - 294

https://doi.org/10.1145/3449726.3459473

Published: 08 July 2021 Publication History

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Abstract

Pandemics pose a serious challenge to health-care institutions. To support the resource planning of health authorities from the Cologne region, BaBSim.Hospital, a tool for capacity planning based on discrete event simulation, was created. The predictive quality of the simulation is determined by 29 parameters with reasonable default values obtained in discussions with medical professionals. We aim to investigate and optimize these parameters to improve BaBSim.Hospital using a surrogate-based optimization approach and an in-depth sensitivity analysis.

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Kůdela JDobrovský L(2024)Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics ProblemsParallel Problem Solving from Nature – PPSN XVIII10.1007/978-3-031-70068-2_19(303-321)Online publication date: 7-Sep-2024
https://doi.org/10.1007/978-3-031-70068-2_19
Rehbach FRehbach F(2023)ApplicationEnhancing Surrogate-Based Optimization Through Parallelization10.1007/978-3-031-30609-9_4(95-107)Online publication date: 30-May-2023
https://doi.org/10.1007/978-3-031-30609-9_4
Campos AGabriel GTorres ASantos CMontevechi J(2022)Integrating computer simulation and the normalized normal constraint method to plan a temporary hospital for COVID-19 patientsJournal of the Operational Research Society10.1080/01605682.2022.208398974:2(562-573)Online publication date: 11-Jun-2022
https://doi.org/10.1080/01605682.2022.2083989

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Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis

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GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion

July 2021

2047 pages

ISBN:9781450383516

DOI:10.1145/3449726

Editor:
Francisco Chicano
University of Malaga
,
General Chair:
Krzysztof Krawiec
Poznan University of Technology

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 08 July 2021

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GECCO '21: Genetic and Evolutionary Computation Conference

July 10 - 14, 2021

Lille, France

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Kůdela JDobrovský L(2024)Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics ProblemsParallel Problem Solving from Nature – PPSN XVIII10.1007/978-3-031-70068-2_19(303-321)Online publication date: 7-Sep-2024
https://doi.org/10.1007/978-3-031-70068-2_19
Rehbach FRehbach F(2023)ApplicationEnhancing Surrogate-Based Optimization Through Parallelization10.1007/978-3-031-30609-9_4(95-107)Online publication date: 30-May-2023
https://doi.org/10.1007/978-3-031-30609-9_4
Campos AGabriel GTorres ASantos CMontevechi J(2022)Integrating computer simulation and the normalized normal constraint method to plan a temporary hospital for COVID-19 patientsJournal of the Operational Research Society10.1080/01605682.2022.208398974:2(562-573)Online publication date: 11-Jun-2022
https://doi.org/10.1080/01605682.2022.2083989
Pereira JKrawiec K(2021)An evolutionary and neighborhood-based algorithm for optimization under low budget requirementsProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3449726.3463282(17-18)Online publication date: 7-Jul-2021
https://dl.acm.org/doi/10.1145/3449726.3463282

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Telehealth utilization during the Covid-19 pandemic: A systematic review

Challenges of the Healthcare Systems in promoting eHealth services during pandemic of Covid-19

Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic

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