SOURCE-LINKED INTELLIGENCE

EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Rationale Generation

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

Longitudinal electronic health records (EHRs) capture years of patient history across notes, codes, labs, and procedures, and contain evidence needed to reason about likely clinical outcomes. However, comprehensive clinician review of these records is impractical, and LLM-based processing is costly and often unreliable, missing some relevant observations while hallucinating others. We therefore propose EviGen, a three-layer framework for verifiable clinical rationale generation that addresses these challenges. The first layer is a patient-conditioned retriever that uses learnable queries to fi

Read original source ↗ Open in workspace

recordType

paper

region

Global