Evidence map›Paper›PMID 23690253›Full record

ArticleHealth care management science2014

Estimating the waiting time of multi-priority emergency patients with downstream blocking.

Di Lin, Jonathan Patrick, Fabrice Labeau

Abstract read
In one paragraph

Article in Health care management science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bayesian prediction of emergency department wait time.Health care management science · 2022
    Article
  8. Review
  9. Article
  10. Review
  11. Observational
  12. Simulation of the Emergency Department Care Process for Pediatric Traumatic Brain Injury.Journal for healthcare quality : official publication of the National Association for Healthcare Quality
    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

3 authors.

Di LinDepartment of Electrical and Computer Engineering, McGill University, McConnell, 633 3480 University Street, Montreal, Quebec, Canada, di.lin2@mail.mcgill.ca.
Jonathan Patrick
Fabrice Labeau

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To characterize the coupling effect between patient flow to access the emergency department (ED) and that to access the inpatient unit (IU), we develop a model with two connected queues: one upstream queue for the patient flow to access the ED and one downstream queue for the patient flow to access the IU. Building on this patient flow model, we employ queueing theory to estimate the average waiting time across patients. Using priority specific wait time targets, we further estimate the necessary number of ED and IU resources. Finally, we investigate how an alternative way of accessing ED (Fast Track) impacts the average waiting time of patients as well as the necessary number of ED/IU resources. This model as well as the analysis on patient flow can help the designer or manager of a hospital make decisions on the allocation of ED/IU resources in a hospital.

Indexed as

Hospital AdministrationSystems AnalysisWaiting ListsAlgorithmsComputer SimulationEfficiency, OrganizationalEmergency Service, HospitalHumansTriageWorkflow

Identifiers

PMID23690253
PMCPMC3950617

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.