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 |
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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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