Evidence map›Paper›PMID 20715308›Full record

ArticleHealth care management science2010

Planning and scheduling of semi-urgent surgeries.

Maartje E Zonderland, Richard J Boucherie, Nelly Litvak, Carmen L A M Vleggeert-Lankamp

Abstract read
In one paragraph

Article in Health care management science, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Enhancing Mass Vaccination Programs with Queueing Theory and Spatial Optimization.medRxiv : the preprint server for health sciences · 2024
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  9. Increasing cardio-thoracic productivity at Erasmus MC.Health systems (Basingstoke, England) · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. A MIP Model for Rolling Horizon Surgery Scheduling.Journal of medical systems · 2016
    Article
  16. Article
  17. ED crowding and the use of nontraditional beds.The American journal of emergency medicine · 2012
    Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Maartje E ZonderlandDivision I, Leiden University Medical Center, Postbox 9600, 2300 RC Leiden, The Netherlands. m.e.zonderland@lumc.nl
Richard J Boucherie
Nelly Litvak
Carmen L A M Vleggeert-Lankamp

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates the trade-off between cancellations of elective surgeries due to semi-urgent surgeries, and unused operating room (OR) time due to excessive reservation of OR time for semi-urgent surgeries. Semi-urgent surgeries, to be performed soon but not necessarily today, pose an uncertain demand on available hospital resources, and interfere with the planning of elective patients. For a highly utilized OR, reservation of OR time for semi-urgent surgeries avoids excessive cancellations of elective surgeries, but may also result in unused OR time, since arrivals of semi-urgent patients are unpredictable. First, using a queuing theory framework, we evaluate the OR capacity needed to accommodate every incoming semi-urgent surgery. Second, we introduce another queuing model that enables a trade-off between the cancelation rate of elective surgeries and unused OR time. Third, based on Markov decision theory, we develop a decision support tool that assists the scheduling process of elective and semi-urgent surgeries. We demonstrate our results with actual data obtained from a department of neurosurgery.

Indexed as

Operating RoomsTriageHumansMarkov ChainsPatient Transfer

Identifiers

PMID20715308
PMCPMC2886895

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.