Efficacy of Autonomous Cleaning Robots in Reducing Pathogen Load and Preventing Hospital-Acquired Infections

Abstract

Hospital-acquired infections (HAIs) are a significant challenge in healthcare settings, leading to prolonged hospital stays, increased medical costs, and higher patient mortality rates. Autonomous cleaning robots equipped with disinfection capabilities represent a novel approach to mitigating this issue by reducing pathogen load in hospital environments. This study assesses the efficacy of autonomous cleaning robots in reducing the presence of pathogens and preventing HAIs. Utilizing a combination of ultraviolet (UV) light disinfection, automated surface cleaning, and air filtration technologies, these robots offer a comprehensive solution for maintaining hygiene. The research methodology includes quantitative microbial assessments and analysis of HAI incidence rates before and after the deployment of autonomous cleaning robots in selected hospital wards. The findings indicate a significant reduction in pathogen load and a correlating decrease in HAIs, underscoring the potential of these robotic systems to enhance hospital sanitation practices and patient safety.