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Updated: Jun 16, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
Impact of a Sepsis Quality Improvement Initiative on Clinical and Operational Outcomes
Christopher B Thomas1,2,3, Benjamin Wyler4, Claude M D'Antonio5,6
1Department of Pulmonary and Critical Care, Our Lady of the Lake Regional Medical Center, Baton Rouge, LA 70808, USA.
None:
Background/Objectives: Sepsis is a costly and life-threatening condition caused by a dysregulated host response to infection. Lack of a reliable, timely diagnostic for sepsis leads to under- and overdiagnosis, suboptimal outcomes, and strained hospital resources. Our Lady of the Lake Regional Medical Center (OLOLRMC) implemented a sepsis learning health program to evaluate and improve outcomes through standardized ED workflows and the incorporation of a novel sepsis diagnostic test. Methods: We report the results of the first year of experience following the implementation of the learning health initiative and sepsis testing. Data from the Epic EHR were analyzed across two groups: pre-implementation (April 2023-July 2023) vs. post-implementation (August 2023-July 2024), and temporally matched cohorts (April-July 2023 vs. April-July 2024). We assessed clinical outcomes (sepsis-associated mortality, hospital length of stay, or HLOS), and resource utilization (antibiotic use, blood cultures). Results: Post-implementation, sepsis-associated mortality dropped from 10.9% to 6.6% in the temporally matched group (p < 0.001). There was also a 0.76-day reduction in mean HLOS among sepsis DRG patients (p < 0.05). Blood culture utilization fell from 50.8% to 45.7%, driven by reductions in blood culture utilization among patients receiving a Band 1 IntelliSep score. Conclusions: The FMOLHS experience demonstrated significant benefits to patient outcomes and resource utilization after implementing a sepsis QI initiative including protocolized and standardized ED workflows via a nurse-driven triage system with sepsis testing for the early risk stratification of patients who present to the ED with signs and symptoms of infection.
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