Artikel

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 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.

Sprache
Englisch

Erschienen in
Journal: Health Care Management Science ; ISSN: 1572-9389 ; Volume: 24 ; Year: 2021 ; Issue: 4 ; Pages: 666-685 ; New York, NY: Springer US

Klassifikation
Medizin, Gesundheit
Thema
Intensive care unit
Admission and discharge decisions
Markov decision process
Dynamic programming
Operations research

Ereignis
Geistige Schöpfung
(wer)
Bai, Jie
Fügener, Andreas
Gönsch, Jochen
Brunner, Jens O.
Blobner, Manfred
Ereignis
Veröffentlichung
(wer)
Springer US
(wo)
New York, NY
(wann)
2021

DOI
doi:10.1007/s10729-021-09560-6
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Bai, Jie
  • Fügener, Andreas
  • Gönsch, Jochen
  • Brunner, Jens O.
  • Blobner, Manfred
  • Springer US

Entstanden

  • 2021

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