# Introducing optimized alerts using AI to prevent more falls, while reducing alarms by up to 52%  
Teton uses AI to assess which residents are at risk today, and alert staff to intervene before a fall happens. Built on 2,000+ analyzed falls.

## Optimizing alerts to match the resident's actual risk  
We analyzed over 2,000 confirmed falls to understand which resident actions actually lead to harm and when they're most dangerous. Optimized Alarms uses those findings to tailor sensitivity to each resident: adjusting for risk level, time of day, mobility aid usage, and health trends. The result is fewer, more meaningful alerts and more time for care teams to focus on the residents who need attention most.

### Without Optimized Alerts  
- **24.6** alerts / resident / day (14-day sample avg)

### With Optimized Alerts  
- **11.7** alerts / resident / day (14-day sample avg)  
*Trending down -52%*

Measured across 5 beta departments, 218 residents, 24–43 days post-launch. Same safety coverage, fewer unnecessary alerts.

## 4 new features that work together  
- **Alarm Presets**: Match alarms to risk  
- **Autopilot**: Predict risk and adapt daily  
- **Day/Night Alerts**: Tuned for day and night shifts  
- **Mobility Alarms**: Monitor walking aids & wheelchairs

### Alarm Presets  
Each risk level (Low, Medium, High) maps to a distinct set of alert rules. Every rule was calibrated against real falls, so the ones that fire are the ones that matter.

### Autopilot  
Every day, Teton analyzes 21 signals per resident like sleep, respiration, fall history, walking aid use, and more, then updates their alert profile before the next shift.

### Day/Night Alerts  
Every alert can be set differently for day and night, so it matches the needs of the shift your staff are actually on.

### Mobility Alarms  
Walking aid and wheelchair users are 32% of residents but 52% of all falls. Teton alerts staff when the aid is out of reach, or when a wheelchair user tries to get up alone.

## The interface your staff will use  
Staff set the fall risk (Low / Medium / High / Auto) and whether the resident uses a walking aid. Teton automatically applies the combination of transition alerts proven to catch the most common fall patterns. If you choose auto, Teton will revisit the fall risk every day to match the resident's needs. Staff can still pick specific transitions in the custom tab if they prefer to set notifications themselves.

## Autopilot  
The system collects data from every sensor, factors in staff coverage, and recalculates each resident's fall risk daily. Subtle changes like worse sleep, rising respiration, or a recent incident cause sensitivity to increase. When things improve, it scales back down. Staff can always override.

### Data From Teton sensors  
- Irregular sleep  
- Walking aid user  
- Elevated respiration

## What staff actually see alerting when it matters most

### Getting out of bed  
2.5x more likely to lead to a fall than any other transition.

### Getting out of chair  
Alerts when a resident rises from a chair, especially after resting.

### Sitting on bed edge  
Gives staff time to assist before the resident tries to leave the bed.

### Wheelchair user getting up  
Bed-to-wheelchair transfers are the most dangerous transition we observed.

### Walking without aid  
Detects when a resident who requires a walking aid is walking without it. The most common fall pattern.

### Walking aid out of reach  
Alerts when the aid has moved more than 1 meter from the bed, before the resident's next transition.

## Results Measured across 5 departments that were already running Teton prior, over 218 residents

- **−16%** Additional fall reduction  
On top of the reductions these sites had already achieved with Teton before Optimized Alerts launched.

- **−52%** Notifications per resident  
From 24.6 to 11.7 alerts per covered resident per day. Less noise, without missing what matters.

- **+20% More residents covered**  
Coverage expanded from 50% to 60% of residents. 20% more residents now get fall prevention alerts, on the same staff.

## See Optimized Alerts in your care setting

## Questions?

### The Anatomy of 2,000 Falls  
What transitions actually lead to harm, and when they're most dangerous.