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From Output Errors to Workflow Harm: A Practitioner-Audit Method for LLM-Mediated Research

2026-08-17

Abstract excerpt

<h4>Objective</h4> Formal large language model (LLM) evaluations score isolated prompts, but clinicians and health-informatics researchers meet model failures inside multi-step workflows where erroneous output can alter procedures or contaminate documents. We present TRACE (Tracking Reliability of AI-generated Conversational Evidence), a practitioner-audit framework for evaluating the downstream workflow reliabil...

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Literature Corpus work
fe91538f-6ea7-54f3-8e5e-8a768a01e57d
DOI
10.64898/2026.08.13.26360414
Open publication

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