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Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICU.

OBJECTIVES
To compare noninvasive mobility sensor patient motion signature to direct observations by physicians and nurses.


DESIGN
Prospective, observational study.


SETTING
Academic hospital surgical ICU.


PATIENTS AND MEASUREMENTS
A total of 2,426 1-minute clips from six ICU patients (development dataset) and 4,824 1-minute clips from five patients (test dataset).


INTERVENTIONS
None.


MAIN RESULTS
Noninvasive mobility sensor achieved a minute-level accuracy of 94.2% (2,138/2,272) and an hour-level accuracy of 81.4% (70/86).


CONCLUSIONS
The automated noninvasive mobility sensor system represents a significant departure from current manual measurement and reporting used in clinical care, lowering the burden of measurement and documentation on caregivers.