HomeReady - verify the home before discharge. The problem Nearly every discharge plan ends with some version of "discharge home once safe." But nobody can verify "safe" from the chart. Post-discharge falls are a leading driver of readmissions, and home-safety evaluations (CDC STEADI, HSSAT) require a clinician home visit that almost never happens. The chart stops at the encounter — the home it's sending the patient back to is a blind spot. What it does HomeReady turns the Abridge care plan into a guided home walkthrough. A caregiver walks the patient's home with an Iphone app, and an agent runs the visit: reading the encounter note, deciding what to verify, asking adaptive questions, and grading the home against the actual discharge plan. It's not a scripted checklist. Grounded in Monica's record, HomeReady decides what matters for her — osteoporosis, a prescribed walker, mobility — and the decisive finding is a measurement, not a vibe: the bathroom doorway is too narrow for her walker, so the discharge plan cannot work as written. That evidence travels back upstream and coordinates a fix — routing findings to OT, coverage barriers to social work, and orders to the care team — then updates the chart for the final discharge decision. How it's built "Dumb client, smart backend." The iPad only scans and streams; all intelligence runs in a FastAPI backend. Three perception layers run live during the walkthrough: RoomPlan LiDAR for exact geometry (real walker-clearance math), a Claude vision fast-pass on camera frames feeding the voice agent, and a deeper Claude pass grading STEADI/HSSAT findings. The ElevenLabs voice agent's LLM *is* the backend — one brain sees the chart and the camera and writes Riley's next sentence. Findings write back as draft FHIR Observations, ServiceRequests (DME with Medicare coverage flags), and Tasks. What's real Every model call in the demo happens live. There is deliberately no fabricated risk score — findings are graded against CDC STEADI / HSSAT with per-patient rationale, and every order and escalation is drafted, never auto-sent. Monica is a synthetic patient from Abridge's ambient-FHIR dataset. Abridge captures the encounter. HomeReady verifies the home.
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