Evidence map›Paper›PMID 20629419›Full record

ArticleHealth care management science2010

Analysing management policies for operating room planning using simulation.

Marie Jeanette Persson, Jan A Persson

Abstract read
PubMed Publisher
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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.International journal of environmental research and public health · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. A MIP Model for Rolling Horizon Surgery Scheduling.Journal of medical systems · 2016
    Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Marie Jeanette PerssonDepartment of Systems and Software Engineering, Blekinge Institute of Technology, Soft Center, 372 25 Ronneby, Sweden. Marie.Persson@bth.se
Jan A Persson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we analyse the operating room planning at a department of orthopaedic surgery in Sweden. We focus on the problem of meeting the uncertainty in demand of patient arrival and surgery duration and at the same time maximizing the utilization of operating room (OR) time. With a discrete-event model we simulate how different management polices affect different performance metrics such as patient waiting time, cancellations and the utilization of OR time. The experiments show that the performance of the operating room department can be improved significantly by applying a different policy in reserving OR-capacity for emergency cases together with a policy to increase staff in stand-by. Moreover, the developed simulation model provides estimates for a what-if situation related to the prognosis of an increasing number of hip-joint replacements.

Indexed as

Efficiency, OrganizationalOrganizational PolicyHumansModels, TheoreticalOperating RoomsOrthopedicsSweden

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.