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Automatic detection of hand hygiene using computer vision technology

Amit Singh
Amit Singh
Albert Haque
Albert Haque
Alexandre Alahi
Alexandre Alahi
Serena Yeung
Serena Yeung
Michelle Guo
Michelle Guo
Jill R Glassman
Jill R Glassman
William Beninati
William Beninati
Terry Platchek
Terry Platchek
Li Fei-Fei (李飞飞)
Li Fei-Fei (李飞飞)
Arnold Milstein
Arnold Milstein

J. Am. Medical Informatics Assoc., pp. 1316-1320, 2020.

Cited by: 0|Bibtex|Views63|DOI:https://doi.org/10.1093/jamia/ocaa115
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com|dblp.uni-trier.de
Keywords:
artificial intelligencecomputer visiondepth sensinghand hygienehealthcare acquired infectionsMore(2+)

Abstract:

A computer vision algorithm was equivalent to human observation in detecting hand hygiene dispenser use. Computer vision monitoring has the potential to provide a more complete appraisal of hand hygiene activity in hospitals than the current gold-standard given its ability for continuous coverage of a unit in space and time.

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