Usability- and microbial validation study of an disinfection robot Microbial validation UV-C robot autonomous UV-C

Résumé fourni par la source

Background Hospital-acquired infections (HAIs) remain a major challenge in healthcare environments, leading to significant patient morbidity, mortality, and increased healthcare costs. Automated UV-C dis-infection has been recognized as a potentially effective method to reduce microbial contamination on hard, non-porous, high-touch surfaces, minimising 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) through microbiological validation and usability assessment. Methods The disinfection efficacy was assessed by collecting surface swab samples from selected high-touch locations before and after robot disinfection, analysing microbial log reductions of indicator bacteria ( Escherichia coli , Bacillus subtilis , and Pseudomonas putida ). Disinfection doses were measured with ana-logue dosimeters, and the robot’s disinfection reports were analysed to correlate UV-C dose with microbial reduction. Static and dynamic disinfection runs were performed to evaluate the added value of automated movement during disinfection. 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 decontamina-tion, 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.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.