You send someone home and hope the environment holds up. Justin, an outpatient PT, got tired of hoping, so he built Safe Home AI: an AI home-safety assessment that turns a few phone photos into a prioritized, tailored report patients and families can actually act on. We get into what it does, where it's headed, and the clinical judgment behind assessing any home well.
What you'll take away: – Why "how's your home?" gets you an answer you can't use and what to ask instead – The discharge gap between leaving a facility and home health arriving, and why it dictates so much of what follows – The big rocks of any home assessment: pattern recognition, the bathroom, lighting, and future-proofing with blocking between the studs – Why a 70-item checklist overwhelms people into doing nothing and how triaging to the top 3 fixes changes everything – How a clinician with no tech background built a real tool by refusing to stay still
Chapters: 00:00 – Keeping people home as long as possible 01:00 – Certified Aging in Place & the billable-time problem 02:57 – The article that lit the spark 04:45 – What Safe Home AI actually does 07:09 – Tailored reports + one-tap product links 07:48 – "What to fix first" (and what's already working) 08:52 – Who it's really for and where it's headed 11:19 – The discharge gap clinicians dread 13:20 – Why the 70-item checklist fails 15:37 – Privacy: what happens to the photos 17:51 – Consumer model now, clinician model next 20:10 – The big rocks of home assessment 24:17 – Advice for the clinician sitting on a problem 26:35 – Try Safe Home AI / reach Justin
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Institute of Clinical Excellence - Older Adult Division. Innehållet i podden är skapat av Institute of Clinical Excellence - Older Adult Division och inte av,
eller tillsammans med, Poddtoppen.