LLM-assisted clinical coding audit through an interpretable coding pipeline

Supriya Khadka

doi:10.1016/j.ijmedinf.2026.106605

2026-07-16

PRE

Supriya Khadka

Xiaorui Jiang *

Vasile Palade

DOI：10.1016/j.ijmedinf.2026.106605

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摘要

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• 协同大语言模型和小语言模型进行可解释的临床编码。 • 识别出ICD数据集中潜在的低编码率和编码错误的高发生率。 • 通过编码错误修正展示了持续的性能提升。 • 验证了基于LLM的集成作为有效的潜在辅助编码审核工具。 • 表明基于LLM的集成与专业编码人员之间具有高度一致性。

期刊

International Journal of Medical Informatics

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4.1

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4.6K

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1.1W

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university of sheffield

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