AI can be implemented in surveillance and detection, predictive analysis, antimicrobial stewardship, environmental monitoring, personalised patient care, and education and training.
One example of AI use in infection prevention and control is the use of facial recognition systems to identify proper face mask use within hospitals. The facial recognition system utilizes a facial feature extraction system to determine whether or not the user is wearing a face mask, and if the mask is being worn properly. Another example of AI use in infection prevention is the intellectualisation of cleaning a hospital, in which robots are equipped with sensors that can test the environment and air in real-time to determine an efficient path of disinfection.
Despite the overwhelming amount of AI publications in recent years, AI in infection prevention and control is still in its infancy. Doctors need collaboration with AI specialists to help learn and understand AI’s applications within healthcare.
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