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Exploring the Applicability of Robot-Assisted UV Disinfection in Radiology.
McGinn, Conor; Scott, Robert; Donnelly, Niamh; Roberts, Kim L; Bogue, Marina; Kiernan, Christine; Beckett, Michael.
  • McGinn C; School of Engineering, Trinity College Dublin, Dublin, Ireland.
  • Scott R; Akara Robotics, Dublin, Ireland.
  • Donnelly N; School of Engineering, Trinity College Dublin, Dublin, Ireland.
  • Roberts KL; Akara Robotics, Dublin, Ireland.
  • Bogue M; Department of Microbiology, Trinity College Dublin, Dublin, Ireland.
  • Kiernan C; Department of Microbiology, Trinity College Dublin, Dublin, Ireland.
  • Beckett M; School of Medicine, Trinity College Dublin, Dublin, Ireland.
Front Robot AI ; 7: 590306, 2020.
Article in English | MEDLINE | ID: covidwho-1050579
ABSTRACT
The importance of infection control procedures in hospital radiology departments has become increasingly apparent in recent months as the impact of COVID-19 has spread across the world. Existing disinfectant procedures that rely on the manual application of chemical-based disinfectants are time consuming, resource intensive and prone to high degrees of human error. Alternative non-touch disinfection methods, such as Ultraviolet Germicidal Irradiation (UVGI), have the potential to overcome many of the limitations of existing approaches while significantly improving workflow and equipment utilization. The aim of this research was to investigate the germicidal effectiveness and the practical feasibility of using a robotic UVGI device for disinfecting surfaces in a radiology setting. We present the design of a robotic UVGI platform that can be deployed alongside human workers and can operate autonomously within cramped rooms, thereby addressing two important requirements necessary for integrating the technology within radiology settings. In one hospital, we conducted experiments in a CT and X-ray room. In a second hospital, we investigated the germicidal performance of the robot when deployed to disinfect a CT room in <15 minutes, a period which is estimated to be 2-4 times faster than current practice for disinfecting rooms after infectious (or potentially infectious) patients. Findings from both test sites show that UVGI successfully inactivated all of measurable microbial load on 22 out of 24 surfaces. On the remaining two surfaces, UVGI reduced the microbial load by 84 and 95%, respectively. The study also exposes some of the challenges of manually disinfecting radiology suites, revealing high concentrations of microbial load in hard-to-reach places. Our findings provide compelling evidence that UVGI can effectively inactivate microbes on commonly touched surfaces in radiology suites, even if they were only exposed to relatively short bursts of irradiation. Despite the short irradiation period, we demonstrated the ability to inactivate microbes with more complex cell structures and requiring higher UV inactivation energies than SARS-CoV-2, thus indicating high likelihood of effectiveness against coronavirus.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Front Robot AI Year: 2020 Document Type: Article Affiliation country: Frobt.2020.590306

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Front Robot AI Year: 2020 Document Type: Article Affiliation country: Frobt.2020.590306