New Research: Exposure-Normalized Bed and Chair Fall Rates via Continuous AI Monitoring
Exposure-Normalized Bed and Chair Fall Rates via Continuous AI Monitoring
A new preprint from LookDeep Health presents the first exposure-normalized comparison of fall rates between bed-bound and chair-seated patients under continuous AI-powered virtual observation.
Key findings from the study:
- ~4× higher unadjusted fall rate from chairs vs. beds
- 2.3× higher adjusted fall risk after controlling for time of day and other factors
- 6 out of 7 direct chair falls involved the footrest
- 3,980 patients and 293,000 patient-hours across 10 hospitals over 17 months
The study demonstrates that AI-powered continuous position tracking can provide the denominator that fall prevention programs have always lacked – how much time patients actually spend in each position.
Citation: Gabriel P, Rehani P, Drumm Z, Troy T, Wyatt T, Singh N. “Exposure-Normalized Bed and Chair Fall Rates via Continuous AI Monitoring.” arXiv:2603.22785, March 2026.
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