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Developing the Surveillance Algorithm for Detection of Failure to Recognize and Treat Severe Sepsis

Developing the Surveillance Algorithm for Detection of Failure to Recognize and Treat Severe Sepsis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6571011

Developing the Surveillance Algorithm for Detection of Failure to Recognize and Treat Severe Sepsis

About this item

Full title

Developing the Surveillance Algorithm for Detection of Failure to Recognize and Treat Severe Sepsis

Publisher

England: Elsevier Inc

Journal title

Mayo Clinic proceedings, 2015-02, Vol.90 (2), p.166-175

Language

English

Formats

Publication information

Publisher

England: Elsevier Inc

More information

Scope and Contents

Contents

Abstract Objective To develop and test an automated surveillance algorithm (sepsis “sniffer”) for the detection of severe sepsis and monitoring failure to recognize and treat severe sepsis in a timely manner. Patients and Methods We conducted an observational diagnostic performance study using independent derivation and validation cohorts from an e...

Alternative Titles

Full title

Developing the Surveillance Algorithm for Detection of Failure to Recognize and Treat Severe Sepsis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6571011

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6571011

Other Identifiers

ISSN

0025-6196

E-ISSN

1942-5546

DOI

10.1016/j.mayocp.2014.11.014

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