ArticleAntimicrobial resistance and infection control2021
The use of a UV-C disinfection robot in the routine cleaning process: a field study in an Academic hospital.
Article in Antimicrobial resistance and infection control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 59 citations in OpenAlex.
- Usability and microbial validation study of an autonomous UV-C disinfection robot.Infection prevention in practice · 2026Article
- Transforming hemodialysis care: a tripartite collaboration model among medical staff, AI agents, and robots.Clinical and experimental nephrology · 2026Review
- Impact of a UV-C Multiemitter Disinfection System on Hospital Environmental Bioburden and Inactivation of Clinically Relevant Pathogens.Pathogens (Basel, Switzerland) · 2026Article
- Breaking the Chain of Infection: A Systematic Review of Environmental Decontamination ofJournal of fungi (Basel, Switzerland) · 2026Review
- From 5G smart hospitals to 6G-enabled learning hospitals: a governance-oriented framework for healthcare technology, policy, and responsible deployment.Frontiers in digital health · 2026Review
- From Surfaces to Spillover: Environmental Persistence and Indirect Transmission of Influenza A(H3N8) Virus.Microorganisms · 2025Article
- Managing and monitoring indoor air quality and surface decontamination in healthcare environments.Arhiv za higijenu rada i toksikologiju · 2025Review
- Article
- Opportunities, Challenges, and Future Directions for the Integration of Automation in Nursing Practice: Discursive Study.JMIR nursing · 2025Review
- Analysis of the SARS-CoV-2 inactivation mechanism using violet-blue light (405 nm).Applied and environmental microbiology · 2025Article
- Current Overview of Environmental Disinfection and Decolonization ofTropical medicine and infectious disease · 2025Review
- Performance of an Autonomous Sanitary Sterilisation Ultraviolet Machine (ASSUM) on terminal disinfection of surgical theaters and rooms of an intensive-intermediate care unit.Infection prevention in practice · 2024Article
- Article
- The laboratory investigation, management, and infection prevention and control ofJournal of medical microbiology · 2024Review
- Feasibility analysis of inactivating influenza A(H1N1) virus using UVC robot in classroom environment.Heliyon · 2024Article
- The many faces of Candida auris: Phenotypic and strain variation in an emerging pathogen.PLoS pathogens · 2024Review
- Improved RRT* Algorithm for Disinfecting Robot Path Planning.Sensors (Basel, Switzerland) · 2024Article
- Evaluation of the Efficacy of UV-C Radiation in Eliminating Microorganisms of Special Epidemiological Importance from Touch Surfaces under Laboratory Conditions and in the Hospital Environment.Healthcare (Basel, Switzerland) · 2023Article
- Tolerance of clinical vancomycin-resistant Enterococcus faecium isolates against UV-C light from a mobile source.Antimicrobial resistance and infection control · 2023Article
- UV Disinfection Robots: A Review.Robotics and autonomous systems · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnvironmental surface decontamination is a crucial tool to prevent the spread of infections in hospitals. However, manual cleaning and disinfection may be insufficient to eliminate pathogens from contaminated surfaces. Ultraviolet-C (UV-C) irradiation deploying autonomous disinfection devices, i.e. robots, are increasingly advertised to complement standard decontamination procedures with concurrent reduction of time and workload. Although the principle of UV-C based disinfection is proven, little is known about the operational details of UV-C disinfection delivered by robots. To explore the impact of a UV-C disinfection robot in the clinical setting, we investigated its usability and the effectiveness as an add-on to standard environmental cleaning and disinfection. Additionally, its effect on Candida auris, a yeast pathogen resistant to antifungals and disinfectants, was studied.
methodsAfter setting the parameters "surface distance" and "exposure time" for each area as given by the manufacturer, the robot moved autonomously and emitted UV-C irradiation in the waiting areas of two hospital outpatient clinics after routine cleaning and/or disinfection. To quantify the efficacy of the robotic UV-C disinfection, we obtained cultures from defined sampling sites in these areas at baseline, after manual cleaning/disinfection and after the use of the robot. Four different C. auris strains at two concentrations and either in a lag or in a stationary growth phase were placed in these areas and exposed to UV-C disinfection as well.
resultsThe UV-C irradiation significantly reduced the microbial growth on the surfaces after manual cleaning and disinfection. C. auris growth in the lag phase was inhibited by the UV-C irradiation but not in the presence of the rim shadows. The effects on C. auris in the stationary phase were differential, but overall C. auris strains were not effectively killed by the standard UV-C disinfection cycle. Regarding usability, the robot's interface was not intuitive, requiring advanced technical knowledge or intensive training prior to its use. Additionally, the robot required interventions by the technical operator during the disinfection process, e.g. stopping due to unforeseen minor dislocation of items during the clinical service or due to moving individuals, making it a delicate high-tech device but not yet ready for the autonomous use in the clinical routine.
conclusionsPresently, the UV-C robot tested in this study is not ready to be integrated in the environmental cleaning and disinfection procedures in our hospital. The single standard disinfection UV-C irradiation cycle is not sufficient to inactivate pathogens with augmented environmental resilience, e.g. C. auris, particularly when microbial loads are high.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.