About: Informing emergency care for COVID‐19 patients: The COVID‐19 Emergency Department Quality Improvement Project protocol

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Informing emergency care for COVID‐19 patients: The COVID‐19 Emergency Department Quality Improvement Project protocol
Creator	Cameron, Peter De, Villiers Luckhoff, Carl Mitchell, Rob Mitra, Biswadev O'reilly, Gerard Smit, Brichko, Lisa Hiller, Ryan Noonan, Michael Paton, Andrew Santamaria, Mark
Source	Medline; PMC; WHO
abstract	Objectives: There is an urgency to support Australian ED clinicians with real‐time tools as the COVID‐19 pandemic evolves. The COVID‐19 Emergency Department (COVED) Quality Improvement Project has commenced and will provide flexible and responsive clinical tools to determine the predictors of key ED‐relevant clinical outcomes. Methods: The COVED Project includes all adult patients presenting to a participating ED and meeting contemporary testing criteria for COVID‐19. The dataset has been embedded in the electronic medical record and the COVED Registry has been developed. Results: Outcomes measured include being COVID‐19 positive and requiring intensive respiratory support. Regression methodology will be used to generate clinical prediction tools. Conclusion: This project will support EDs during this pandemic.
has issue date	2020-04-21(xsd:dateTime)
bibo:doi	10.1111/1742-6723.13513
bibo:pmid	32255567
has license	no-cc
sha1sum (hex)	085f3c3016acbe56fa124092233fc7634406cc90
schema:url	https://doi.org/10.1111/1742-6723.13513
resource representing a document's title	Informing emergency care for COVID‐19 patients: The COVID‐19 Emergency Department Quality Improvement Project protocol
has PubMed Central identifier	PMC7262336
has PubMed identifier	32255567
schema:publication	Emerg Med Australas
resource representing a document's body	covid:085f3c3016acbe56fa124092233fc7634406cc90#body_text
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