Why do ‘fast track’ patients stay more than four hours in the emergency department? An investigation of factors that predict length of stay-Reference-Cited by-同舟云学术

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Why do ‘fast track’ patients stay more than four hours in the emergency department? An investigation of factors that predict length of stay

Published:2018-03-23 Issue:5 Volume:30 Page:641-647
ISSN:1742-6731
Container-title:Emergency Medicine Australasia
language:en
Short-container-title:Emergency Medicine Australasia

Author:

Gill Stephen D¹²³^ORCID,Lane Stephen E⁴^ORCID,Sheridan Michael¹,Ellis Elizabeth¹,Smith Darren¹,Stella Julian¹

Affiliation:

1. Emergency Department; University Hospital Geelong; Geelong Victoria Australia

2. Physiotherapy Department; University Hospital Geelong; Geelong Victoria Australia

3. Barwon Centre for Orthopaedic Research and Education (B-CORE); Geelong Victoria Australia

4. Centre of Excellence for Biosecurity Risk Analysis, School of BioSciences; The University of Melbourne; Melbourne Victoria Australia

Publisher

Wiley

Subject

Emergency Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/1742-6723.12964/fullpdf

Reference39 articles.

1. Demand at the emergency department front door: 10-year trends in presentations;Lowthian;Med. J. Aust.,2012

2. Initiatives to reduce overcrowding and access block in Australian emergency departments: a literature review;Crawford;Collegian,2014

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Models to predict length of stay in the emergency department: a systematic literature review and appraisal;BMC Emergency Medicine;2024-04-04

2. Pathology testing in non‐trauma patients presenting to the emergency department with recurrent seizures;Emergency Medicine Australasia;2023-06

3. Lean Healthcare Approach With Fast Track;Cases on Lean Thinking Applications in Unconventional Systems;2022-10-14

4. Primary care access to radiology: Characteristics of trauma patients referred to the emergency department;Journal of Evaluation in Clinical Practice;2022-07-18

5. Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining;Sensors;2022-06-30

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