Healthcare Appointment Retrieval Architecture for Fresh, Traceable Appointment Answers
Short answer: for a healthcare appointment assistant, this retrieval architecture uses staged search, explicit ranking signals, bounded queries, and traceable appointment source context. For a healthcare appointment assistant, ranking is a safety boundary before it is a relevance trick. A patient asking “Can I move my cardiology visit to next Tuesday?” needs current scheduling policy, not a…
A healthcare appointment retrieval architecture employs staged search, explicit ranking signals, bounded queries, and traceable appointment source context. The architecture prioritizes hard gates, including tenant, locale, appointment type, and effective date, before applying semantic similarity. Validity (active record with an effective window including the requested date) and scope (clinic, specialty, plan, and patient-facing channel match) are ranked higher than freshness.
Semantic score and evidence quality are considered last, with a stable identifier, owner, and revision timestamp preferred. The final prompt should include source URL or document identifier beside each chunk, along with the retrieval timestamp. If the assistant cannot show the source of an appointment rule, it should seek clarification or hand off instead of improvising.
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