Patient Visit Advocate ai-first-opportunity-map strategy-001
AI-first means the product thinks with the patient before, during, and after care moments. It should extract structure, reason conservatively about what to clarify, and remember context longitudinally instead of serving static content.
AI-first means the product thinks with the patient before, during, and after care moments. It should extract structure, reason conservatively about what to clarify, and remember context longitudinally instead of serving static content.
No explicit evidence field yet. Require tests, screenshots, linked PRs, or reviewed outputs before marking complete.
AI-first means the product thinks with the patient before, during, and after care moments. It should extract structure, reason conservatively about what to clarify, and remember context longitudinally instead of serving static content.
Machine-readable source fields
atlas-codex intake from user-provided product brief
2026-05-05T03:23:35.513Z
new project intake
AI-first means the product thinks with the patient before, during, and after care moments. It should extract structure, reason conservatively about what to clarify, and remember context longitudinally instead of serving static content.
| id | name | user value | why ai first | system behavior |
|---|---|---|---|---|
| AIF-01 | Messy concern to structured visit understanding | The user can be anxious and imprecise; the system still creates a usable summary. | A static form requires the patient to know what matters; an AI intake adapts follow-up questions to what the patient actually says. | Extract symptoms, timeline, current context, worries, attempted remedies, unknowns, and red-flag disclosures without diagnosing. |
| AIF-02 | Dynamic question strategy | The patient gets a short list of the highest-leverage questions for this visit, not generic advice. | The questions depend on the patient’s context and stated concerns. | Generate prioritized clarifying, decision, timing, referral, monitoring, and follow-up questions tied to the brief. |
| AIF-03 | Medical-language translator | Patient can understand clinical terms and instructions in plain language. | Translation must adapt to what was said and what the user understood. | Translate terms, instructions, and visit notes into plain English while preserving uncertainty and recommending clinician clarification when needed. |
| AIF-04 | Longitudinal visit memory | The product carries forward patterns, prior visits, unresolved questions, medications, and symptom history. | Memory lets future briefs compare current concerns to prior episodes responsibly. | Persist structured history with user-controlled correction and deletion. |
1.0
Ship AIF-01 and AIF-02 first, include lightweight AIF-03 in post-visit debrief, and design the memory schema for AIF-04 without overbuilding the full longitudinal experience.