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Managing daily surgery schedules in a teaching hospital: a mixed-integer optimization approach

Overview of attention for article published in BMC Health Services Research, October 2014
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Title
Managing daily surgery schedules in a teaching hospital: a mixed-integer optimization approach
Published in
BMC Health Services Research, October 2014
DOI 10.1186/1472-6963-14-464
Pubmed ID
Authors

Raul Pulido, Adrian M Aguirre, Miguel Ortega-Mier, Álvaro García-Sánchez, Carlos A Méndez

Abstract

This study examined the daily surgical scheduling problem in a teaching hospital. This problem relates to the use of multiple operating rooms and different types of surgeons in a typical surgical day with deterministic operation durations (preincision, incision, and postincision times). Teaching hospitals play a key role in the health-care system; however, existing models assume that the duration of surgery is independent of the surgeon's skills. This problem has not been properly addressed in other studies. We analyze the case of a Spanish public hospital, in which continuous pressures and budgeting reductions entail the more efficient use of resources.

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The data shown below were collected from the profile of 1 X user 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Student > Master 14 17%
Student > Bachelor 11 13%
Student > Doctoral Student 6 7%
Researcher 5 6%
Other 8 10%
Unknown 25 30%
Readers by discipline Count As %
Engineering 18 21%
Medicine and Dentistry 13 15%
Business, Management and Accounting 6 7%
Decision Sciences 3 4%
Computer Science 3 4%
Other 9 11%
Unknown 32 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 15 October 2014.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Health Services Research
#7,442
of 7,949 outputs
Outputs of similar age
#219,318
of 258,256 outputs
Outputs of similar age from BMC Health Services Research
#169
of 173 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,949 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.