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Managing admission and discharge processes in intensive care units
The intensive care unit (ICU) is one of the most crucial and expensive resources in a health care system. While high fixed costs usually lead to tight capacities, shortages have severe consequences. Thus, various challenging issues exist: When should an ICU admit or reject arriving patients in gener...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189840/ https://www.ncbi.nlm.nih.gov/pubmed/34110549 http://dx.doi.org/10.1007/s10729-021-09560-6 |
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author | Bai, Jie Fügener, Andreas Gönsch, Jochen Brunner, Jens O. Blobner, Manfred |
author_facet | Bai, Jie Fügener, Andreas Gönsch, Jochen Brunner, Jens O. Blobner, Manfred |
author_sort | Bai, Jie |
collection | PubMed |
description | The intensive care unit (ICU) is one of the most crucial and expensive resources in a health care system. While high fixed costs usually lead to tight capacities, shortages have severe consequences. Thus, various challenging issues exist: When should an ICU admit or reject arriving patients in general? Should ICUs always be able to admit critical patients or rather focus on high utilization? On an operational level, both admission control of arriving patients and demand-driven early discharge of currently residing patients are decision variables and should be considered simultaneously. This paper discusses the trade-off between medical and monetary goals when managing intensive care units by modeling the problem as a Markov decision process. Intuitive, myopic rule mimicking decision-making in practice is applied as a benchmark. In a numerical study based on real-world data, we demonstrate that the medical results deteriorate dramatically when focusing on monetary goals only, and vice versa. Using our model, we illustrate the trade-off along an efficiency frontier that accounts for all combinations of medical and monetary goals. Coming from a solution that optimizes monetary costs, a significant reduction of expected mortality can be achieved at little additional monetary cost. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10729-021-09560-6. |
format | Online Article Text |
id | pubmed-8189840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81898402021-06-10 Managing admission and discharge processes in intensive care units Bai, Jie Fügener, Andreas Gönsch, Jochen Brunner, Jens O. Blobner, Manfred Health Care Manag Sci Article The intensive care unit (ICU) is one of the most crucial and expensive resources in a health care system. While high fixed costs usually lead to tight capacities, shortages have severe consequences. Thus, various challenging issues exist: When should an ICU admit or reject arriving patients in general? Should ICUs always be able to admit critical patients or rather focus on high utilization? On an operational level, both admission control of arriving patients and demand-driven early discharge of currently residing patients are decision variables and should be considered simultaneously. This paper discusses the trade-off between medical and monetary goals when managing intensive care units by modeling the problem as a Markov decision process. Intuitive, myopic rule mimicking decision-making in practice is applied as a benchmark. In a numerical study based on real-world data, we demonstrate that the medical results deteriorate dramatically when focusing on monetary goals only, and vice versa. Using our model, we illustrate the trade-off along an efficiency frontier that accounts for all combinations of medical and monetary goals. Coming from a solution that optimizes monetary costs, a significant reduction of expected mortality can be achieved at little additional monetary cost. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10729-021-09560-6. Springer US 2021-06-10 2021 /pmc/articles/PMC8189840/ /pubmed/34110549 http://dx.doi.org/10.1007/s10729-021-09560-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bai, Jie Fügener, Andreas Gönsch, Jochen Brunner, Jens O. Blobner, Manfred Managing admission and discharge processes in intensive care units |
title | Managing admission and discharge processes in intensive care units |
title_full | Managing admission and discharge processes in intensive care units |
title_fullStr | Managing admission and discharge processes in intensive care units |
title_full_unstemmed | Managing admission and discharge processes in intensive care units |
title_short | Managing admission and discharge processes in intensive care units |
title_sort | managing admission and discharge processes in intensive care units |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189840/ https://www.ncbi.nlm.nih.gov/pubmed/34110549 http://dx.doi.org/10.1007/s10729-021-09560-6 |
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