Know which patients Need
you next
See the clinical reasoning behind every patient risk, so your team can act with confidence.
Eight Years Of Facility-Trained Models | Patented Clinical Intelligence | Trusted by
Clinical Intelligence
Should Show Its Work
AI is full of black boxes that ask for your trust. SAIVA takes the opposite approach. Every patient risk is supported by clear clinical context: the signals, history, and changes driving it. Your team does not have to simply trust the technology. They can see the why behind it.
From Overnight Data To The Morning Huddle
The ranked List
Every morning, SAIVA ranks
the residents at highest risk
of decline, built from your facility’s own data, not a national average.
The Why
Open any name and see the reasoning: the vitals drift, the med change, the missed meals. Plain clinical language, no scores to decode.
The Next Step
Clear, care actions your team can use in the huddle, on the round, and at the bedside. Documented as they go.
Measured In The Numbers That
Run Your Building
In a study of 662 Florida skilled nursing facilities using public CMS quality data, facilities using SAIVA were more likely to improve readmission performance than non-adopting facilities, with a statistically significant association between months of use and improvement. With the average readmission costing roughly $15,200, every prevented transfer is felt in the P&L as well as on the floor.