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A bicriteria heuristic for an elective surgery scheduling problem

Overview of attention for article published in Health Care Management Science, October 2014
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2 X users

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89 Mendeley
Title
A bicriteria heuristic for an elective surgery scheduling problem
Published in
Health Care Management Science, October 2014
DOI 10.1007/s10729-014-9305-z
Pubmed ID
Authors

Inês Marques, M. Eugénia Captivo, Margarida Vaz Pato

Abstract

Resource rationalization and reduction of waiting lists for surgery are two main guidelines for hospital units outlined in the Portuguese National Health Plan. This work is dedicated to an elective surgery scheduling problem arising in a Lisbon public hospital. In order to increase the surgical suite's efficiency and to reduce the waiting lists for surgery, two objectives are considered: maximize surgical suite occupation and maximize the number of surgeries scheduled. This elective surgery scheduling problem consists of assigning an intervention date, an operating room and a starting time for elective surgeries selected from the hospital waiting list. Accordingly, a bicriteria surgery scheduling problem arising in the hospital under study is presented. To search for efficient solutions of the bicriteria optimization problem, the minimization of a weighted Chebyshev distance to a reference point is used. A constructive and improvement heuristic procedure specially designed to address the objectives of the problem is developed and results of computational experiments obtained with empirical data from the hospital are presented. This study shows that by using the bicriteria approach presented here it is possible to build surgical plans with very good performance levels. This method can be used within an interactive approach with the decision maker. It can also be easily adapted to other hospitals with similar scheduling conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
Norway 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 24%
Student > Ph. D. Student 12 13%
Student > Doctoral Student 8 9%
Student > Bachelor 8 9%
Researcher 6 7%
Other 9 10%
Unknown 25 28%
Readers by discipline Count As %
Engineering 21 24%
Business, Management and Accounting 9 10%
Medicine and Dentistry 7 8%
Computer Science 6 7%
Nursing and Health Professions 4 4%
Other 8 9%
Unknown 34 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2014.
All research outputs
#17,730,142
of 22,768,097 outputs
Outputs from Health Care Management Science
#200
of 285 outputs
Outputs of similar age
#175,308
of 260,345 outputs
Outputs of similar age from Health Care Management Science
#4
of 10 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.