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S. Trinh

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May 2026

Real-World Effects of a Sepsis Early Detection Model Integrated into Clinical Workflow: A Quasi-Experimental Study

Abstract Background Sepsis is a life-threatening condition in which delayed recognition and treatment are associated with increased mortality. While predictive models such as Epic’s Early Detection of Sepsis Model (ESM) were developed to support early intervention, their real-world effects after integration into clinic...

Yi-Fan Zhang, S. Trinh, Tom Phelan et al. · 0 citations

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