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首页> 外文期刊>Journal of nursing care quality >Predicting Sepsis Risk Using the 'Sniffer' Algorithm in the Electronic Medical Record
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Predicting Sepsis Risk Using the 'Sniffer' Algorithm in the Electronic Medical Record

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摘要

The Sepsis "Sniffer" Algorithm (SSA) has merit as a digital sepsis alert but should be considered an adjunct to versus an alternative for the Nurse Screening Tool (NST), given lower specificity and positive predictive value. The SSA reduced the risk of incorrectly categorizing patients at low risk for sepsis, detected sepsis high risk in half the time, and reduced redundant NST screens by 70 and manual screening hours by 64 to 72. Preserving nurse hours expended on manual sepsis alerts may translate into time directed toward other patient priorities.

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