https://www.selleckchem.com/ph....armacological_epigen
To estimate performance characteristics and impact on care processes of a machine learning, early sepsis recognition tool embedded in the electronic medical record. Design Retrospective review of electronic medical records and outcomes to determine sepsis prevalence among patients about whom a warning was received in real time and timing of that warning compared with clinician recognition of potential sepsis as determined by actions documented in the electronic medical record. Setting Acute care, nonteaching hospital. Patient
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