Course: Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic
CME Credits: 1.00
Released: 2021-11-19
Sepsis early warning systems aim to assist clinicians in recognizing and treating sepsis. Historically, these early warning systems have relied on simple clinical rules, such as systemic inflammatory response syndrome criteria, to identify patients with possible sepsis. To date, sepsis early warning systems have not been shown to reliably improve patient outcomes, and artificial intelligence (AI) systems such as the widely implemented Epic Sepsis Model (ESM) are beginning to replace them.
Educational Objective
To identify the key insights or developments described in this article
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