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
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Publisher
England: Elsevier Inc
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Language
English
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Publisher
England: Elsevier Inc
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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...
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Developing the Surveillance Algorithm for Detection of Failure to Recognize and Treat Severe Sepsis
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6571011
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6571011
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ISSN
0025-6196
E-ISSN
1942-5546
DOI
10.1016/j.mayocp.2014.11.014