LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment
Large language models (LLMs) are increasingly deployed across healthcare applications, including clinical documentation, diagnostic reasoning, medicine recommendation, and medical education. Their outputs are largely unstructured clinical text, which is difficult to reliably evaluate at scale. LLM-as-a-Judge, in which an LLM evaluates another system's output against task-specific criteria, offers a scalable alternative and is increasingly used in clinical evaluation, yet its validity in healthca
Record details
Published: 24 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare · Children & education
Retrieved: 14 July 2026
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ethics.ai (24 May 2026), “LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment,” evidence record 3763, https://ethics.ai/record/3763 (originally published by arXiv).
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