Evidence map›Paper›PMID 17608054›Full record

ArticleHealth care management science2007

Modeling the emergency cardiac in-patient flow: an application of queuing theory.

Arnoud M de Bruin, A C van Rossum, M C Visser, G M Koole

Abstract read
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In one paragraph

Article in Health care management science, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  18. Understanding the current state of patient flow in a hospital.Clinical medicine (London, England) · 2010
    Article
  19. Managing capacity and demand across the patient journey.Clinical medicine (London, England) · 2010
    Review
  20. 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.

Arnoud M de BruinDivision IV (room PK 6X.185), VU University Medical Centre, De Boelelaan 1117, PO Box 7075, Amsterdam, The Netherlands. am.debruin@vumc.nl
A C van Rossum
M C Visser
G M Koole

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the bottlenecks in the emergency care chain of cardiac in-patient flow. The primary goal is to determine the optimal bed allocation over the care chain given a maximum number of refused admissions. Another objective is to provide deeper insight in the relation between natural variation in arrivals and length of stay and occupancy rates. The strong focus on raising occupancy rates of hospital management is unrealistic and counterproductive. Economies of scale cannot be neglected. An important result is that refused admissions at the First Cardiac Aid (FCA) are primarily caused by unavailability of beds downstream the care chain. Both variability in LOS and fluctuations in arrivals result in large workload variations. Techniques from operations research were successfully used to describe the complexity and dynamics of emergency in-patient flow.

Indexed as

Heart DiseasesSystems TheoryBed OccupancyCoronary Care UnitsEmergency Service, HospitalHumansLength of StayTime Factors

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.