The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia

The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia

Bibliographic Details
Main Authors: Dinh, Michael M., Russell, Saartje Berendsen, Bein, Kendall J., Rogers, Kris, Muscatello, David, Paoloni, Richard, Hayman, Jon, Chalkley, Dane R., Ivers, Rebecca
Format: Online
Language:English
Published: BioMed Central 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135778/
id pubmed-5135778
recordtype oai_dc
spelling pubmed-51357782016-12-15 The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia Dinh, Michael M. Russell, Saartje Berendsen Bein, Kendall J. Rogers, Kris Muscatello, David Paoloni, Richard Hayman, Jon Chalkley, Dane R. Ivers, Rebecca Research Article BioMed Central 2016-12-03 /pmc/articles/PMC5135778/ /pubmed/27912757 http://dx.doi.org/10.1186/s12873-016-0111-4 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Dinh, Michael M.
Russell, Saartje Berendsen
Bein, Kendall J.
Rogers, Kris
Muscatello, David
Paoloni, Richard
Hayman, Jon
Chalkley, Dane R.
Ivers, Rebecca
spellingShingle Dinh, Michael M.
Russell, Saartje Berendsen
Bein, Kendall J.
Rogers, Kris
Muscatello, David
Paoloni, Richard
Hayman, Jon
Chalkley, Dane R.
Ivers, Rebecca
The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia
author_facet Dinh, Michael M.
Russell, Saartje Berendsen
Bein, Kendall J.
Rogers, Kris
Muscatello, David
Paoloni, Richard
Hayman, Jon
Chalkley, Dane R.
Ivers, Rebecca
author_sort Dinh, Michael M.
title The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia
title_short The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia
title_full The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia
title_fullStr The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia
title_full_unstemmed The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia
title_sort sydney triage to admission risk tool (start) to predict emergency department disposition: a derivation and internal validation study using retrospective state-wide data from new south wales, australia
description
publisher BioMed Central
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135778/
_version_ 1613754879215403008

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