Delayed recognition and treatment of sepsis is common but results in high mortality and economic cost. To better understand the sources of delay, we conducted a cognitive task analysis informed by a systematic literature review, which led to two areas of focus: workflow delays, and human error. We suggest tackling this problem by reducing cognitive burden and initial uncertainties through automatic screening tools using predictive models and novel biomarkers to aid clinicians.

Learning Objective 1: Understand why delays in recognition and treatment of sepsis persist despite our sophisticated understanding of the sepsis process and be able to recommend automatic screening tool to reduce clinicians’ cognitive burden.

Learning Objective 2: Identify the two sources of delays in sepsis recognition: workflow-related delays and human error.


Eungyoung Han (Presenter)
University of Utah

Teresa Taft, University of Utah
Devin Horton, University of Utah Hospital
Charlene Weir, University of Utah

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