Artificial intelligence for training and reporting infection prevention measures in critical wards

Bibliographic Data

ID22070856
AuthorsFrancesca Simioli (0000-0002-9457-6558, Ospedale Monaldi, corresponding author), Anna Annunziata (0000-0002-2404-3545, Ospedale Monaldi), Antonietta Coppola (0000-0002-4845-4293, Ospedale Monaldi), Anna Iervolino (0000-0003-0450-9587), Mariacristina Boccia, Giuseppe Fiorentino (0000-0002-2523-9769, Ospedale Monaldi)
Year2024
Volume12
Pages1442188-1442188
Publication date2024-10-16
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1442188
PMID39478744
OpenAlexW4403476381
LanguageEN
Citations received2
References cited12

Healthcare associated infections (HAI) are a major concern. Infections and sepsis are prevalent causes of prolonged hospitalization, healthcare resources consumption, and mortality. Infection prevention and control (IPC) measures need to be encouraged with the purpose to become standard protocol. Hand hygiene represents the most important measure to prevent the spread of infections. Poor hand hygiene is often due to: the belief that the use of gloves replaces hand hygiene, lack of good example from colleagues and superiors, sinks that are difficult to access or insufficient in number, staff often too busy / not enough time, poor knowledge of guidelines and protocols. Artificial intelligence was recently integrated in hand washing devices; this can implement training on a daily basis but also is an objective method to assess the efficacy of the IPC measures adopted. The benefit–cost ratio of this approach needs to be discussed

Alternative medicine · Health care · Hygiene · Infection control · Intensive care medicine · Medical emergency · Pathology · Infection Control in Healthcare · Medicine · Nosocomial Infections in ICU · Patient Safety and Medication Errors

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