Case study · Senior living · Safety & monitoring
Teton at Sagora
Six months of anonymized computer-vision monitoring at Sagora’s Bristol Park at Cleburne, an assisted living and memory care community, and the fall-safety results that held across all of them.
The program
Continuous visibility, built into the rhythm of care.
Sagora Senior Living partnered with Teton to bring anonymized computer-vision observation to Bristol Park at Cleburne, an assisted living and memory care community. Ceiling-mounted sensors process resident movement, position and behavior on-device — no identifiable imagery ever leaves the room — so dignity is preserved while every covered space is observed around the clock.
The platform surfaces real-time fall alerts, builds behavioral analytics on sleep, mobility and activity, and includes Samwise, an AI chat-based assistant staff can query in natural language and that surfaces insights on its own.
The deployment paired clinical measurement with a rigorous business-case analysis, modeled jointly with Sagora from the community’s own operating data, so every result could be measured against the same residents and the same staff.
Operator
Sagora Senior Living
Community
Bristol Park at Cleburne
Location
Cleburne, Texas
Setting
Assisted living & memory care
Size
101 beds community-wide
Measurement
Baseline Oct–Nov 2025 · Use phase Jan–Jun 2026
76%
Fewer falls per resident, sustained across six months
~2 min
Average time to a caregiver — ~95% faster than baseline
91%
Of falls reached in under five minutes
$430K
Projected annual impact for a single community
On-device vision
Processed locally; imagery never leaves the room.
Real-time alerts
Falls and risk events routed to staff devices.
Behavioral analytics
Sleep, mobility, and activity patterns over time.
Samwise
Natural-language assistant, proactive insights.
How the pilot was run
A baseline first, then six months of live use.
Oct – Nov 2025
Baseline window
A structured pre-period with no intervention — the control.
December 2025
Go-live & ramp-up
Platform fully live; staff settle Teton into their daily workflow before measurement begins.
Jan – Jun 2026
Six-month use phase
180+ days of alerts, digital rounding, and analytics fully live.
The headline
Not a launch spike. Six months of results that held.
Every month of the use phase is shown as its fall rate relative to the community’s own pre-Teton baseline. The line never climbs back: for six consecutive months the fall rate stayed roughly three-quarters below where it started.
Monthly fall rate vs. baseline
0% — the community’s own pre-Teton level
Monthly fall rate expressed as reduction versus the community’s own baseline period. Longer bars mean fewer falls; every month held between 70% and 88% below baseline.
6 / 6
months held at or below a 70% reduction, with no regression toward baseline.
76%
average reduction across 180+ days of use.
101 beds
community-wide, across assisted living and memory care.
After the fall
What changes the moment someone falls.
Average response now sits at about two minutes, roughly 95% faster than baseline, and it held there for six months. That single shift reshapes everything that happens after a resident goes down.
Average fall response
~2 min
average time to a caregiver — roughly 95% faster than baseline, and sustained across all six months of use.
91%
reached under five minutes: more than nine in ten falls are now answered within five.
79%
of falls now end in staff-assisted recovery, up from 32%: a resident is far less often left to rise alone.
Why faster arrival is safer
Because a caregiver now reaches a fallen resident within minutes, residents are far more often helped up by staff than left to rise on their own. Assisted recovery is materially safer: rising unaided risks a secondary fall or a worsened injury, while a caregiver arriving promptly can stabilize the resident, assess for injury before any movement, and catch problems the resident might not report. Prompt arrival also sharpens incident review, as staff observe the undisturbed scene and pair their account with the anonymized clip — context that can even inform an ER decision and avoid an unnecessary hospital transfer.
From a family
“
He said he was so glad we have this system, and that knowing help comes that fast gives them real peace of mind about their loved one’s care.
A family member stopped by my office today to share how impressed they were with the Teton system. On December 27, the resident’s daughter was visiting and sat down on the floor in room 117, and within two minutes staff responded to check on the resident. The family was amazed by both the speed of the system’s detection and the staff’s quick response.
Michelle Cortez
Resident Services Director, Bristol Park at Cleburne
2 min
staff at the resident’s side after detection, witnessed firsthand by family.
95%
faster reaction time across the community, not a one-off.
Beyond falls
Healthier residents, and a more deliberate way of working.
83%
reduction in PRN sleep medication
After Teton’s sleep findings prompted staff to adjust one resident’s daily routine, that resident’s as-needed (PRN) sleep medication use fell 83%. It is a documented example of behavioral data driving non-pharmacological intervention, in a population where overmedication remains a persistent quality-of-care concern.
Staff workflow
245 hrs
of caregiver time redirected each month, out of routine trips and into direct care.
19 → 14
visits / resident / day (−26%)
2.1 → 3.3
minutes / visit (+57%)
Cutting routine trips is what frees the time. And because each remaining visit runs longer, total time per resident actually rose about 17%. The hours weren’t stripped out of care — they were moved out of the hallway and into it: fewer walks back and forth, more time spent with the residents who need it.
Estimated from ~5 fewer visits, at two minutes transit time saved per visit, scaled across the resident population to a month.
The business case
Fall prevention that pays for itself.
Working from Sagora’s own MIMO reports, LOA logs, incident logs and care-level data across six months of active use, Sagora and Teton jointly modeled Bristol Park’s projected annual financial impact — grounded in actual community records rather than vendor projections.
Projected annual impact
$430K
for a single community
Modeled across three operator-validated value drivers.
$110K
Reduced fall-related move-outs
8.8 prevented move-outs per year, at three months of preserved length-of-stay each.
$150K
Increased move-ins
Teton as a sales differentiator; 100% of new Bristol Park move-ins now opt in.
$169K
Improved care assessments
Teton's ADL scoring identifies residents whose acuity exceeds their billed care level before any incident occurs.
Measured, not modeled on assumptions
Every driver was cross-referenced against Sagora’s internal records — the kind of ground-truth data most pilot deployments never produce — yielding measurable clinical impact and operator-validated financial returns.
What it took
Two things had to go right.
The results rested on discipline that most pilots skip: embedding the platform into how staff actually work, and grounding every financial claim in real community data.
01
Embedding into the culture, not on top of it
Getting training right took multiple on-site visits from Teton's Customer Success Managers into Bristol Park to understand existing workflows and find the right way to embed Teton into the day-to-day culture rather than layering it on top. Sustained adoption depended on staff seeing the platform as a tool that enhanced their work, which took deliberate iteration on workflows, alert configuration, and training cadence.
02
A defensible business case in a live community
Building a credible financial model meant cross-referencing Sagora's internal MIMO reports, LOA logs, and incident data against Teton's platform output to validate every assumption. Each driver, from move-out prevention to care-level reassessment, was grounded in actual community records rather than vendor projections.
Why it matters
Clinical impact and commercial proof.
Most monitoring systems in long-term care focus narrowly on a single signal — a fall, a wandering event, a pull-cord — and operate reactively. The Teton platform at Bristol Park continuously observes movement, position, sleep, mobility, activity intensity and state-level risk, then routes the right signal to the right staff member at the right time.
The results also held their shape over time. A 76% reduction sustained across six consecutive months, rather than a launch-month spike, indicates the monitoring layer is changing day-to-day practice — helping staff intervene earlier rather than only respond faster after an event.
What sets the deployment apart is the pairing: category-leading clinical outcomes alongside a $430K operator-validated business case, built entirely from the community’s own data. Effective fall prevention is also commercially sustainable.
What the platform observes
- Movement & position
- Sleep & rest
- Mobility & gait
- Activity intensity
- State-level risk
One platform, many signals, routed to the right person at the right moment.
Together, these results show AI-driven safety monitoring delivering measurable gains in response, prevention, resident wellbeing, and operator economics.
Prevention belongs at the point of care
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