Patient QA Pipeline

Sources: Antigravity, 2026-07-05 Raw: Patient QA Pipeline Source

Patient QA Pipeline

SequentialAgent containing 8 specialist LLM agents answers clinical questions with cited evidence from notes, images, and vector search — grounded in patient context.

flowchart TD
    START([Patient-scoped question]) --> VR
    VR["qa_request_validation_agent (flash-lite)
validate_qa_request"] --> CA
    CA["context_assembly_agent (flash-lite)
lookup_patient_record, load_memory,
search_past_conversations"] --> ER
    ER["evidence_retrieval_agent (pro-customtools)
search_clinical_notes, search_vector_store,
retrieve_imaging_evidence"] --> IE
    IE["image_evidence_agent (pro-customtools)
analyze_evidence_images, fetch_image_from_gcs"] --> CB
    CB["citation_builder_agent (flash-lite)
build_citations"] --> AS
    AS["answer_synthesis_agent (pro)
compose_clinical_answer"] --> AU
    AU["qa_audit_agent (flash-lite)
log_audit_event, save_qa_to_memory"] --> RS
    RS["qa_response_agent (flash-lite)
return cited answer"] --> DONE([Cited answer + audit trail])

Key facts:

• Validation happens first: validate_qa_request rejects out-of-scope requests before any retrieval.
• Evidence is multimodal — text notes, vector search hits, and imaging pulled from GCS and analyzed by Gemini Vision.
• Every answer carries citations built before synthesis, so sources are traceable in the UI ([[Clinical App]]).
• The audit stage persists the exchange to long-term memory (save_qa_to_memory) with PHI filtered first ([[Memory Layers]] Layer 3).

Related: [[Agent Architecture]] · [[End-to-End Request Flow]]