Valuation of hospital resources: an optimization approach using clearing functions.
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| Title: | Valuation of hospital resources: an optimization approach using clearing functions. |
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| Authors: | Sutterer, Paul1, Kolisch, Rainer2 rainer.kolisch@tum.de, Uzsoy, Reha3 |
| Source: | IISE Transactions on Healthcare Systems Engineering. Oct-Dec2022, Vol. 12 Issue 4, p245-262. 18p. |
| Subjects: | Hospitals, Hospital admission & discharge, Motherboards |
| Abstract: | We propose an approach to estimating the time-dependent marginal values of hospital resources facing heterogeneous patient demand over time using the dual variables of a novel dynamic patient admission and flow planning model maximizing hospital revenue. Clearing functions are used to represent the queuing behavior of the patients within the hospital. Using a large data set containing 17,483 patients treated over one year in a 400-bed hospital, we undertake a computational study where we derive the value of hospital resources under different demand and resource scenarios. Our results show that large instances of the model can be solved in reasonable CPU times, and that the model yields resource valuations that are qualitatively different from conventional approaches ignoring queueing costs. [ABSTRACT FROM AUTHOR] |
| Copyright of IISE Transactions on Healthcare Systems Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 161751763 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Valuation of hospital resources: an optimization approach using clearing functions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sutterer%2C+Paul%22">Sutterer, Paul</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kolisch%2C+Rainer%22">Kolisch, Rainer</searchLink><relatesTo>2</relatesTo><i> rainer.kolisch@tum.de</i><br /><searchLink fieldCode="AR" term="%22Uzsoy%2C+Reha%22">Uzsoy, Reha</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IISE+Transactions+on+Healthcare+Systems+Engineering%22">IISE Transactions on Healthcare Systems Engineering</searchLink>. Oct-Dec2022, Vol. 12 Issue 4, p245-262. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hospitals%22">Hospitals</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+admission+%26+discharge%22">Hospital admission & discharge</searchLink><br /><searchLink fieldCode="DE" term="%22Motherboards%22">Motherboards</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We propose an approach to estimating the time-dependent marginal values of hospital resources facing heterogeneous patient demand over time using the dual variables of a novel dynamic patient admission and flow planning model maximizing hospital revenue. Clearing functions are used to represent the queuing behavior of the patients within the hospital. Using a large data set containing 17,483 patients treated over one year in a 400-bed hospital, we undertake a computational study where we derive the value of hospital resources under different demand and resource scenarios. Our results show that large instances of the model can be solved in reasonable CPU times, and that the model yields resource valuations that are qualitatively different from conventional approaches ignoring queueing costs. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IISE Transactions on Healthcare Systems Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=161751763 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/24725579.2022.2055236 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 245 Subjects: – SubjectFull: Hospitals Type: general – SubjectFull: Hospital admission & discharge Type: general – SubjectFull: Motherboards Type: general Titles: – TitleFull: Valuation of hospital resources: an optimization approach using clearing functions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sutterer, Paul – PersonEntity: Name: NameFull: Kolisch, Rainer – PersonEntity: Name: NameFull: Uzsoy, Reha IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct-Dec2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 24725579 Numbering: – Type: volume Value: 12 – Type: issue Value: 4 Titles: – TitleFull: IISE Transactions on Healthcare Systems Engineering Type: main |
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