Dr. Priya Nair referred you to LillyDirect for your treatment. Your Care Coordinator keeps you supported — and Dr. Nair updated — between visits.
The patient has already enrolled in LillyDirect and been referred for GLP-1 therapy. This is the low-friction next step — activating the Care Coordinator, not a separate account decision.
We verify identity before any health information is shared — the same check Cogni runs before every check-in.
Confirms the patient matches an existing chart or employer enrollment record before any clinical content is shown or discussed.
patient_id key the Memory Layer (v3 §17) is built around.Captures consent for scheduled check-ins with Cogni, plus the preferences that drive reminder timing. No phone-call language anywhere here — everything happens in-app.
Toggle above switches between them directly, rather than describing the second one in prose. A brand-new patient has no medication or weight data yet — showing "On track" or a future-dated check-in would be false, so the first-time state prompts starting that first conversation now instead.
Scheduled check-in · can also be started anytime from Home
Corrected from earlier drafts, which modeled this as an incoming phone call — that's not right. Telephony (clinic calling a patient, or a patient calling a clinic) is Provider Portal territory. This app's voice interaction happens entirely in-app: a scheduled check-in, or started on demand from Home ("Talk to Cogni now").
Thursday, Aug 14 · 2:04–2:13 PM
Plain-language recap in the patient's own app — not the clinical transcript, not a tier label, just what was actually discussed.
answered_questions and DDM state (v3 §4), rewritten in plain language.Updated after every check-in — your care team sees the same view.
Patient-facing view of the same longitudinal data the physician's monthly summary is built from.
longitudinal_trends (v3 §17.1) — the 0–10 digestion scale (v3 §9.4) is what makes the symptom chart possible at all.We'll only post here when your care team needs to follow up — not for routine check-ins.
Patient-friendly reflection of Urgent/Emergency events — deliberately does not expose internal tier names or clinical scoring.
Suggested based on what you've shared in your check-ins.
Education surface — content selection can be personalized by which pathways a patient's check-ins have actually triggered, not generic content for everyone.
Shows who's treating the patient and closes the loop the proposal describes: the physician is notified automatically, and can send care instructions back — this is where the patient sees that response land.
Standard account management, plus a visible confirmation of which program and (where applicable) which physician drove the enrollment — reads differently depending on the Screen 1 path taken.
Built directly from the proposal's own example (p.5–6) — reused the same patient (Jordan) and physician (Dr. Nair) from the patient-side screens so the two views read as one continuous story. "AI Risk Score" (the proposal's own field) is now replaced with our actual internal tier — resolved, not just relabeled.
Per the design workshop already proposed as a next step — five things we'd like to align on together before finalizing. Each links back to the screen it came from.