Why the study?
Does an algorithm processing networked vital signs accurately identify operating room occupancy in real-time compared to surveillance videos?
Population
220 surgical cases (122 for development, 98 for testing) in a 6-operating room trauma center
Comparison
Algorithm processing networked vital signs to… vs Patient in- and out-times captured by operating…
Design
Other
Authors
Loading...
May support automated OR occupancy tracking from vital signs; leaves open prospective validation before workflow integration.
Does an algorithm processing networked vital signs accurately identify operating room occupancy in real-time compared to surveillance videos?
An algorithm processing networked vital signs can accurately and automatically identify operating room occupancy in real-time.
Xiao et al. (2005) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: