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Cited by 393

The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

Operations Research in Healthcare: a survey

Open access
Rais, Abdur, Viana, Ana·2011·International Transactions in Operational Research

Abstract

Optimisation problems in Healthcare have received considerable attention for more than three decades. More recently, however, with decreasing birth rates in nearly all of the developed countries and increasing average longevity globally, optimisation issues in Healthcare have become noticeably important and attract keen interest from the Operations Research community. Over the years, attention has gradually expanded from resource allocation and strategic planning to include operational issues such as resource scheduling and treatment planning. This paper surveys several applications of Operations Research in the domain of Healthcare. In particular, the paper reviews key contributions addressing contemporary optimisation issues in this area. It highlights current research activities, focusing on a variety of optimisation problems as well as solution techniques used for solving the optimisation problems.

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Crossref · 10.1111/j.1475-3995.2010.00767.x

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Metadata

Authors
Rais, A., & Viana, A.
Venue
International Transactions in Operational Research
Publisher
Wiley
Published
2010-08-19
Volume
18
Issue
1
Pages
1-31
ISSN
0969-6016 (ISSN-L)
OpenAlex
W2066827333
Cited by
393
References
114
FWCI
16.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Operations Research in Healthcare: a survey. https://app.cochat.ai/papers/10.1111/j.1475-3995.2010.00767.x
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Rais, A., & Viana, A. (2011). Operations Research in Healthcare: a survey. International Transactions in Operational Research. https://doi.org/10.1111/j.1475-3995.2010.00767.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.