Automatic detection of hand hygiene using computer vision technology.
Hand hygiene is essential for preventing hospital-acquired infections but is difficult to accurately track. The gold-standard (human auditors) is insufficient for assessing true overall compliance. Computer vision technology has the ability to perform more accurate appraisals. Our primary objective was to evaluate if a computer vision algorithm could accurately observe hand hygiene dispenser use in images captured by depth sensors.
Author(s): Singh, Amit, Haque, Albert, Alahi, Alexandre, Yeung, Serena, Guo, Michelle, Glassman, Jill R, Beninati, William, Platchek, Terry, Fei-Fei, Li, Milstein, Arnold
DOI: 10.1093/jamia/ocaa115