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Developing the Surveillance Algorithm for Detection of Failure to Recognize and Treat Severe Sepsis
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...
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| Pubblicato in: | Mayo Clin Proc |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6571011/ https://ncbi.nlm.nih.gov/pubmed/25576199 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mayocp.2014.11.014 |
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