pith:OHFKPDAC
BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection
A multi-agent debate system augmented with hybrid retrieval detects terminology substitution errors in clinical notes more accurately than single-agent RAG or debate-only approaches.
arxiv:2604.10389 v2 · 2026-04-12 · cs.CL
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\pithnumber{OHFKPDACWGFMCM6VNH2VQYBYIL}
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Record completeness
Claims
BLUEmed achieves the best accuracy (69.13%), ROC-AUC (74.45%), and PR-AUC (72.44%) under few-shot prompting, outperforming both single-agent RAG and debate-only baselines.
The clinical terminology substitution detection benchmark used for evaluation is representative of real-world clinical notes and error distributions, and the two domain-expert agents possess sufficient clinical knowledge to produce reliable independent analyses without introducing new hallucinations.
BLUEmed combines hybrid RAG with structured multi-agent debate and a safety filter to detect terminology substitution errors in clinical notes, reaching 69.13% accuracy under few-shot prompting and outperforming single-agent and debate-only baselines.
Formal links
Receipt and verification
| First computed | 2026-06-12T01:09:27.657935Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
71caa78c02b18ac133d569f558603842f713d126f9449d691da5ab2fb35dc777
Aliases
· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/OHFKPDACWGFMCM6VNH2VQYBYIL \
| jq -c '.canonical_record' \
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# expect: 71caa78c02b18ac133d569f558603842f713d126f9449d691da5ab2fb35dc777
Canonical record JSON
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