Retrieval Recovery Playbook for Healthcare Appointment Assistants Under Load

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The article argues that when a healthcare appointment assistant's retrieval fails, the system should return a verified disposition rather than a plausible-sounding guess. Every passage should carry source identity and revision time, with retries limited to idempotent reads inside a fixed deadline. If evidence is empty, stale, or contradictory, the assistant should ask a clarifying question or hand off to a human. The author treats retrieval as an evidence pipeline with a stop condition, where a language model is only the final consumer rather than a repair mechanism. Recovery steps are kept deliberately simple, with a policy layer deciding which retrieved passages are admissible.

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