ArticleInfection prevention in practice2026
Usability and microbial validation study of an autonomous UV-C disinfection robot.
Article in Infection prevention in practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
Background: Hospital-acquired infections (HAIs) remain a major challenge in healthcare environments, leading to significant patient morbidity, mortality and increased healthcare costs. Automated ultraviolet C (UV-C) disinfection has been recognized as a potentially effective method to reduce microbial contamination on hard, non-porous, high-touch surfaces, minimizing the errors present in manual disinfection efforts. Aim: To evaluate the microbiological effectiveness of an autonomous moving UV-C disinfection robot (Omnia UV-C v1.0, Ryberg B.V., Delft, The Netherlands) through microbiological validation and usability assessment. Methods: The efficacy of disinfection was assessed by collecting surface swab samples from selected high-touch locations before and after robot disinfection, analysing microbial log reductions of indicator bacteria ( Results: The robot achieved microbial log reductions exceeding 4 logs (99.99%) at various locations, meeting established disinfection criteria. Disinfection reports, dosimeter data, and microbial assays showed a strong correlation with dynamic disinfection, providing coverage advantages over static approaches. The disinfection doses measured were consistent with effective microbial decontamination. Discussion: The autonomous UV-C disinfection robot demonstrated effective microbial decontamination, highlighting its potential to aid in infection control in healthcare settings. Future work will include broader testing for various pathogens and shadowed areas to optimize disinfection coverage.
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