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    Using Artificial Intelligence in Infection Prevention


    Fitzpatrick, Fidelma, Doherty, Aaron and Lacey, Gerard (2020) Using Artificial Intelligence in Infection Prevention. Current Treatment Options in Infectious Diseases, 12 (2). pp. 135-144. ISSN 1534-6250

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    Abstract

    Purpose of Review Artificial intelligence (AI) offers huge potential in infection prevention and control (IPC). We explore its potential IPC benefits in epidemiology, laboratory infection diagnosis, and hand hygiene. Recent Findings AI has the potential to detect transmission events during outbreaks or predict high-risk patients, enabling development of tailored IPC interventions. AI offers opportunities to enhance diagnostics with objective pattern recognition, standardize the diagnosis of infections with IPC implications, and facilitate the dissemination of IPC expertise. AI hand hygiene applications can deliver behaviour change, though it requires further evaluation in different clinical settings. However, staff can become dependent on automatic reminders, and performance returns to baseline if feedback is removed. Summary Advantages for IPC include speed, consistency, and capability of handling infinitely large datasets. However, many challenges remain, improving the availability of high-quality representative datasets and consideration of biases within pre-existing databases are important challenges for future developments. AI in itself will not improve IPC; this requires culture and behaviour change. Most studies to date assess performance retrospectively so there is a need for prospective evaluation in the real-life, often chaotic, clinical setting. Close collaboration with IPC experts to interpret outputs and ensure clinical relevance is essential
    Item Type: Article
    Additional Information: Cite as: Fitzpatrick, F., Doherty, A. & Lacey, G. Using Artificial Intelligence in Infection Prevention. Curr Treat Options Infect Dis 12, 135–144 (2020). https://doi-org.may.idm.oclc.org/10.1007/s40506-020-00216-7
    Keywords: Artificial intelligence; Machine learning; Infection prevention and control; Hand hygiene; Infection diagnosis
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16614
    Identification Number: 10.1007/s40506-020-00216-7
    Depositing User: Gerard Lacey
    Date Deposited: 13 Oct 2022 10:59
    Journal or Publication Title: Current Treatment Options in Infectious Diseases
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/16614
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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