Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICU.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 31162207.
- Also identified by DOI 10.1097/CCM.0000000000003852.
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Abstract
To compare noninvasive mobility sensor patient motion signature to direct observations by physicians and nurses. Prospective, observational study. Academic hospital surgical ICU. 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). None. 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). 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.
Medical subject headings
- Early Ambulation
- Intensive Care Units
- Remote Sensing Technology