InforLorV4, Main, Exploration, bibRecord, 000706

Handling Uncertainty in Health Care Management using the Cardinality-Constrained Approach: Advantages and Remarks

Identifieur interne : 000706 ( Main/Exploration ); précédent : 000705; suivant : 000707

Handling Uncertainty in Health Care Management using the Cardinality-Constrained Approach: Advantages and Remarks

Auteurs : Bernardetta Addis [France] ; Giuliana Carello [Italie] ; Andrea Grosso [Italie] ; Lanzarone Ettore [Italie] ; Sara Mattia [Italie] ; Elena Tànfani [Italie]

Source :

Operations Research for Health Care [ 2211-6923 ] ; 2015.

RBID : Hal:hal-01247392

Abstract

Different approaches have been proposed in the literature to handle uncertain parameters in health care optimisation problems. Among them, the cardinality-constrained approach to robust optimisation seems suitable for handling several of these problems because it allows a trade-off between the level of robustness and the cost of the solution, and an easy implementation that can be understood by clinicians and planners without any background in operations research. Thus far, however, cardinality-constrained approach has rarely been applied to health care. We recently applied the cardinality-constrained approach to two relevant health care management problems, namely, the operating room planning problem and the nurse-to-patient assignment problem in home care services. In this communication, we briefly describe our experience and focus on general considerations, advantages, and remarks that can help operations researchers in evaluating the approach for other applications in health care management.

Url:

https://hal.inria.fr/hal-01247392

DOI: 10.1016/j.orhc.2014.10.001

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 002733
to stream Hal, to step Curation: 002733
to stream Hal, to step Checkpoint: 000708
to stream Main, to step Merge: 000701
to stream Main, to step Curation: 000706

Le document en format XML

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<front><div type="abstract" xml:lang="en">Different approaches have been proposed in the literature to handle uncertain parameters in health care optimisation problems. Among them, the cardinality-constrained approach to robust optimisation seems suitable for handling several of these problems because it allows a trade-off between the level of robustness and the cost of the solution, and an easy implementation that can be understood by clinicians and planners without any background in operations research. Thus far, however, cardinality-constrained approach has rarely been applied to health care. We recently applied the cardinality-constrained approach to two relevant health care management problems, namely, the operating room planning problem and the nurse-to-patient assignment problem in home care services. In this communication, we briefly describe our experience and focus on general considerations, advantages, and remarks that can help operations researchers in evaluating the approach for other applications in health care management.</div>
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<affiliations><list><country><li>France</li>
<li>Italie</li>
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<region><li>Grand Est</li>
<li>Lorraine (région)</li>
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<settlement><li>Metz</li>
<li>Nancy</li>
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<orgName><li>Université de Lorraine</li>
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<name sortKey="Grosso, Andrea" sort="Grosso, Andrea" uniqKey="Grosso A" first="Andrea" last="Grosso">Andrea Grosso</name>
<name sortKey="Mattia, Sara" sort="Mattia, Sara" uniqKey="Mattia S" first="Sara" last="Mattia">Sara Mattia</name>
<name sortKey="Tanfani, Elena" sort="Tanfani, Elena" uniqKey="Tanfani E" first="Elena" last="Tànfani">Elena Tànfani</name>
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Handling Uncertainty in Health Care Management using the Cardinality-Constrained Approach: Advantages and Remarks

Handling Uncertainty in Health Care Management using the Cardinality-Constrained Approach: Advantages and Remarks

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