Article
Retrospective Quality Analysis of a Clinical RAG Chatbot: Observable Signals and Lessons Learned
2026-01-27
Abstract excerpt
Retrieval-augmented generation (RAG) is increasingly adopted to ground clinical conversational agents in external knowledge sources, yet many deployed prototypes lack the observability required for standard RAG evaluation. In particular, retrieved documents and grounding context are often not logged, preventing direct assessment of retrieval quality and faithfulness. We report a post-hoc evaluation of EMSy , a cl...
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Identifiers and source
- Literature Corpus work
- 20ec9213-dd13-56cf-a3c3-7b528a86bed3
- DOI
- 10.64898/2026.01.26.26344757
