Patient Visit Advocate intent
internal prototype · canonical JSON + Dreamborn Forge HTML
internal generated
intent · supabase_json

Patient Visit Advocate intent

Patients often enter medical appointments anxious, underprepared, and unable to recall or prioritize details under time pressure. Afterward, they commonly leave with unanswered questions, unclear next steps, and weak continuity between visits.

Planning Surface

Use this to decide what happens next.

Status

approved

problem

Patients often enter medical appointments anxious, underprepared, and unable to recall or prioritize details under time pressure. Afterward, they commonly leave with unanswered questions, unclear next steps, and weak continuity between visits.

success metrics
metrictarget
Preparedness momentUser can generate a visit brief and top questions from a messy intake in one session.
Question relevanceGenerated questions reference the user’s timeline, symptoms, concerns, and unknowns rather than generic templates.
Safety postureEvery medical-adjacent output avoids diagnosis/treatment instructions and includes appropriate uncertainty and escalation language.
Follow-up clarityPost-visit debrief produces tests, next steps, open questions, and monitoring items as separate structured lists.
Agent Handoff
Start Here

Patients often enter medical appointments anxious, underprepared, and unable to recall or prioritize details under time pressure. Afterward, they commonly leave with unanswered questions, unclear next steps, and weak continuity between visits.

Completion Evidence
metrictarget
Preparedness momentUser can generate a visit brief and top questions from a messy intake in one session.
Question relevanceGenerated questions reference the user’s timeline, symptoms, concerns, and unknowns rather than generic templates.
Safety postureEvery medical-adjacent output avoids diagnosis/treatment instructions and includes appropriate uncertainty and escalation language.
Follow-up clarityPost-visit debrief produces tests, next steps, open questions, and monitoring items as separate structured lists.
Problem

Patients often enter medical appointments anxious, underprepared, and unable to recall or prioritize details under time pressure. Afterward, they commonly leave with unanswered questions, unclear next steps, and weak continuity between visits.

Goal

Build an AI-first patient visit advocate that converts messy pre-visit input into a clear doctor visit brief, context-specific questions, and a simple post-visit debrief so patients feel prepared and confident without receiving diagnosis or treatment advice.

Success Metrics
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Structured Payload

Machine-readable source fields

goal

Build an AI-first patient visit advocate that converts messy pre-visit input into a clear doctor visit brief, context-specific questions, and a simple post-visit debrief so patients feel prepared and confident without receiving diagnosis or treatment advice.

meta
source

atlas-codex intake from user-provided product brief

created at

2026-05-05T03:23:35.513Z

product stage

new project intake

scope
in
  • pre-visit conversational intake
  • visit brief
  • dynamic question generator
  • post-visit summary
  • structured patient memory model
out
  • diagnosis
  • treatment planning
  • provider messaging
  • EHR writeback
  • insurance workflows
  • realtime visit mode in MVP
problem

Patients often enter medical appointments anxious, underprepared, and unable to recall or prioritize details under time pressure. Afterward, they commonly leave with unanswered questions, unclear next steps, and weak continuity between visits.

primary users
needspersonasuccess
- explain what is going on in their own words - remember timeline and symptoms - know what to ask - avoid freezing in the roomPatient preparing for a visitArrives with a concise visit brief and a short prioritized question list.
- organize another person’s concerns - track context across visits - avoid missing follow-upsCaregiver or family advocateCan prepare and review the visit without reconstructing everything from memory.
schema version

1.0

success metrics
metrictarget
Preparedness momentUser can generate a visit brief and top questions from a messy intake in one session.
Question relevanceGenerated questions reference the user’s timeline, symptoms, concerns, and unknowns rather than generic templates.
Safety postureEvery medical-adjacent output avoids diagnosis/treatment instructions and includes appropriate uncertainty and escalation language.
Follow-up clarityPost-visit debrief produces tests, next steps, open questions, and monitoring items as separate structured lists.