A dual-interface tablet for skilled nursing facilities: combining AI-assisted resident engagement with passive acoustic monitoring to predict clinical decline with automated charting.
"Tell me more about this photo from your anniversary..."
Skilled Nursing Facilities are facing a staffing crisis, with nurses spending up to 30-50% of their shift on manual documentation rather than patient care.
Simultaneously, limited social interaction leads to high rates of resident depression and cognitive decline, which often go unnoticed until a severe acute event occurs.
This disconnect results in preventable hospital readmissions costing the system billions, and accelerates staff burnout due to administrative overload.
SNFs face a double squeeze: suffering patients and overworked staff. Current solutions address one or the other—never both.
We are developing a tablet platform that delivers value on both sides of the care equation—engaging residents while supporting clinical staff.
An AI-powered conversational agent delivers personalized reminiscence therapy, utilizing family-uploaded media (photos/videos) to stimulate memory and reduce isolation.
The device is designed to utilize ambient acoustic analysis to track biomarkers for depression (speech patterns) and physical health (cough detection).
We are building integration layers for major EHRs to auto-summarize patient interactions into charting notes, aiming to reduce administrative burden.
We're not just a "therapy app"—we're charting automation. This addresses the most acute pain point in SNF operations today.
Ambient monitoring requires nothing extra from overworked nurses. The technology works in the background while care happens naturally.
By detecting decline early, we aim to prevent costly readmissions before acute events occur—saving the system billions.
We believe in transparency. Here's exactly what's built versus what's on our roadmap.
Core logic and UI wireframes for the patient-facing reminiscence module are defined. System architecture validated.
Currently developing the MVP for the initial conversational agent. EHR integration and acoustic analysis models are in the R&D/scoping phase.
Seeking pilot partners for initial deployment to validate engagement metrics and clinical workflow integration.
Full EHR integration, expanded acoustic analysis capabilities, and multi-facility deployment.
We're actively seeking SNF operators who want to be at the forefront of AI-enabled resident care. Pilot partners will have direct input into product development.