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AI-enabled autonomous UV-C device pathogen reduction within clinically relevant parameters
Monique T Barakat1, Mohammad Noshad2, Timothy Angelotti3
1Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, CA.
None:
Wall-mounted UV-C disinfection systems present a promising alternative to robotic approaches for pathogen reduction. We sought to determine the pathogen-reduction efficacy of such devices when operated at a distance, mimicking real-world applications. It was shown that a variety of high-risk pathogens (eg, methicillin-resistant Staphylococcus aureus, Pseudomonas aeruginosa, S epidermidis, Escherichia coli, Clostridium difficile, and Candida auris) could be reduced by more than 3-log units with a short exposure time of 20 to 30 seconds.
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