Cited by 82Emergency and Acute Care StudiesHealthcare Operations and Scheduling OptimizationTrauma and Emergency Care Studies

Impact of streaming “fast track” emergency department patients

Open access
O'Brien, Debra, Williams, Aled, Blondell, Kerrianne, Jelinek, George A·2006·Australian Health Review

Abstract

Objective: Fast track systems to stream emergency department (ED) patients with low acuity conditions have been introduced widely, resulting in reduced waiting times and lengths of stay for these patients. We aimed to prospectively assess the impact on patient flows of a fast track system implemented in the emergency department of an Australian tertiary adult teaching hospital which deals with relatively few low acuity patients. Methods: During the 12-week trial period, patients in Australasian Triage Scale (ATS) categories 3, 4 and 5 who were likely to be discharged were identified at triage and assessed and treated in a separate fast track area by ED medical and nursing staff rostered to work exclusively in the area. Results: The fast track area managed 21.6% of all patients presenting during its hours of operation. There was a 20.3% (?18 min; 95%CI, ?26 min to ?10 min) relative reduction in the average waiting time and an 18.0% (?41 min; 95%CI, ?52 min to ?30 min) relative reduction in the average length of stay for all discharged patients compared with the same period the previous year. Compared with the 12-week period before the fast track trial, there was a 3.4% (?2.1 min; 95%CI, ?8 min to 4 min) relative reduction in the average waiting time and a 9.7% (?20 min; 95%CI, ?31 min to ?9 min) relative reduction in the average length of stay for all discharged patients. There was no increase in the average waiting time for admitted patients. This was despite major increases in throughput and access block in the study period. Conclusion: Streaming fast track patients in the emergency department of an Australian tertiary adult teaching hospital can reduce waiting times and length of stay for discharged patients without increasing waiting times for admitted patients, even in an ED with few low acuity patients.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1071/ah060525

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Some process changes resembled those already advised or attempted for EDs, such as "fast-track" streaming.

    “Some process changes resembled those already advised or attempted for EDs, such as “fast-track” streaming [87].”

    From Lean Thinking in Emergency Departments: A Critical Review (2011) · cites this paper as [87]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Fernandes CM, Christenson JM. Use of continuous quality improvement to facilitate patient flow through Improving the Processes of Care the triage and fast-track areas of an emergency department. J Emerg Med 1995; 13: 847-55.

Cited by

Sorted by citations

Authors
O'Brien, D., Williams, A., Blondell, K., & Jelinek, G. A.
Affiliations
Sir Charles Gairdner Hospital (AU)
Venue
Australian Health Review
Published
2006-12-01
Volume
30
Issue
4
Pages
525-532
ISSN
  • 0156-5788 (ISSN-L)
  • 1449-8944
OpenAlex
W2021534809
Cited by
82
References
14
Citations by year
2026: 1 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 1 · 2018: 5 · 2017: 4 · 2016: 1 · 2015: 13 · 2014: 7 · 2013: 6 · 2012: 4
FWCI
3.58
Type
journal article
Language
en
Open access
Locations
  • Australian Health Review (publishedVersion)
  • PubMed (publishedVersion)
  • UWA Profiles and Research Repository (UWA) (submittedVersion)
Topics
  • Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
  • Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
  • Health Sciences › Medicine › Emergency Medicine › Trauma and Emergency Care Studies
Keywords
low-acuity patients, patient flow, emergency department waiting times, length of hospital stay, Australasian Triage Scale, emergency department throughput, access block, emergency department discharge
MeSH terms
Aged, Emergency Service, Hospital, Humans, Prospective Studies, Time Factors, Triage, Western Australia, Efficiency, Organizational

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review