Smart Predictions:

Spot Sit-Up Attempts

Early

Prevention starts when you know the riskiest moments.

Why Fall Prevention Protocols Break Down

Current systems can't adapt in real time

No continuous coverage

Nurses, sitters, and video monitoring can’t provide uninterrupted, real-time attention for every patient.

Risk changes constantly

Fall risk isn’t static—it shifts with medications, fatigue, and cognitive changes throughout the day.

Alerts arrive too late

Most systems notify staff during or after bed exits, leaving little time to intervene.

The Hidden Cost of Bed-Exit Falls

Unassisted bed exits risk patient injuries and avoidable costs.

1% Revenue Risk

Up to 1% revenue at risk. CMS reduces payments for hospitals with higher rates of hospital-acquired conditions.

~$35k Direct Cost

~$35,000 in direct cost per fall that includes treatment, imaging, surgery & post-fall care.

11 Additional Days

An average increase of 11 days in length of stay after an injurious fall.

What if nurses knew sit-up intent early?

Schedule a Discussion

Prediction Before the First Movement

OK2Predict delivers early movement intent to the systems you already use.

Validated in Real Care Settings

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Real World Summary Performance*

Topfallprevention for elderly

4,500+ Monitoring Hours

44 high-risk patients across skilled nursing facilities.

~6 Second Signal Delivery

~6 seconds from detected sit-up intent to signal delivery.

Senior-in-Wheelchair

Low False-Alert Burden

~0.1 false alerts per bed per day.x

*Based on evaluation conducted in five skilled nursing facilities. Results reflect observed system performance under defined conditions and depend on trained staff response, facility protocols, and clinical workflows.

How the evaluation was conducted

Interested in detecting movement intent earlier in your environment?

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1 Corporate Drive, Suite 101 Bedford, PA 15522

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