How Compliant is Sepsis Treatment? An Expert-Guided Neuro-symbolic Pipeline for Generating Clinical Compliance Insights

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arXiv cs.AI · Himanshu Tripathi, Kaushik Roy, Subash Neupane, Shahram Rahimi · 2026-08-17 AI

[Submitted on 12 Aug 2026]

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Abstract:Verifying whether clinical care follows evidence-based protocols is a natural neuro-symbolic problem, yet the safety-critical setting defeats either paradigm alone. We present an expert-guided pipeline that constrains a large language model strictly to semantic normalization, mapping messy drug and microbiology strings onto a fixed clinical vocabulary, while a Sugeno fuzzy inference system reasons over the normalized events. The fuzzy layer encodes eight Surviving Sepsis Campaign bundle rules and replaces binary judgments with graded scores in [0,1]. Applied to 2,438 MIMIC-IV v3.1 sepsis episodes, it surfaces antibiotic timing as the most critical breakdown (mean 0.24, 13% within one hour), Hour-1 underperformance (mean 36.7%), a 51% elevated-lactate drop-off, and descriptive differences in ICU stay across compliance groups (3.8 versus 5.1 days).

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From: Himanshu Tripathi [view email]
[v1] Wed, 12 Aug 2026 20:41:12 UTC (1,750 KB)

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추출 본문 · 출처: arxiv.org · https://arxiv.org/abs/2608.13617