Enhancing Infection Control in ICUS Through AI: A Literature Review
ABSTRACT Introduction Infection control in intensive care units (ICUs) is crucial due to the high risk of healthcare‐associated infections (HAIs), which can increase patient morbidity, mortality, and costs. Effective measures such as hand hygiene, use of personal protective equipment (PPE), patient...
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| Format: | Article |
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Wiley
2025-01-01
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| Series: | Health Science Reports |
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| Online Access: | https://doi.org/10.1002/hsr2.70288 |
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| author | Aditya Amit Godbole Paras Maanya Mehra Sumitaksha Banerjee Poulami Roy Novonil Deb Sarang Jagtap |
| author_facet | Aditya Amit Godbole Paras Maanya Mehra Sumitaksha Banerjee Poulami Roy Novonil Deb Sarang Jagtap |
| author_sort | Aditya Amit Godbole |
| collection | DOAJ |
| description | ABSTRACT Introduction Infection control in intensive care units (ICUs) is crucial due to the high risk of healthcare‐associated infections (HAIs), which can increase patient morbidity, mortality, and costs. Effective measures such as hand hygiene, use of personal protective equipment (PPE), patient isolation, and environmental cleaning are vital to minimize these risks. The integration of artificial intelligence (AI) offers new opportunities to enhance infection control, from predicting outbreaks to optimizing antimicrobial use, ultimately improving patient safety and care in ICUs. Objectives The primary objectives are to explore AI's impact on predicting HAIs, real‐time monitoring, automated sterilization, resource optimization, and personalized infection control plans. Methodology A comprehensive search of PubMed and Scopus was conducted for relevant articles up to January 2024, including case series, reports, and cohort studies. Animal studies and irrelevant articles were excluded, with a focus on those considered to have significant clinical relevance. Discussion The review highlights AI's prowess in predicting HAIs, surpassing conventional methods. Existing evidence demonstrates AI's efficacy in accurately predicting and mitigating HAIs. Real‐time patient monitoring and alert systems powered by AI are shown to enhance infection detection and patient outcomes. The paper also addresses AI's role in automating sterilization and disinfection, with studies affirming its effectiveness in reducing infections. AI's resource optimization capabilities are exemplified in ICU settings, showcasing its potential to improve resource allocation efficiency. Furthermore, the review emphasizes AI's personalized approach to infection control post‐procedures, elucidating its ability to analyze patient data and create tailored control plans. |
| format | Article |
| id | doaj-art-10d12108a06b41baa2f1930c294c051a |
| institution | Kabale University |
| issn | 2398-8835 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Health Science Reports |
| spelling | doaj-art-10d12108a06b41baa2f1930c294c051a2025-01-29T03:42:40ZengWileyHealth Science Reports2398-88352025-01-0181n/an/a10.1002/hsr2.70288Enhancing Infection Control in ICUS Through AI: A Literature ReviewAditya Amit Godbole0Paras1Maanya Mehra2Sumitaksha Banerjee3Poulami Roy4Novonil Deb5Sarang Jagtap6Department of surgery Bharati Vidyapeeth (Deemed to University) Medical College Pune IndiaDepartment of surgery Government Medical College Patiala IndiaDepartment of surgery University College of Medical Sciences and G.T.B. Hospital Delhi IndiaDepartment of surgery Burdwan Medical College and Hospital Barddhaman IndiaDepartment of surgery North Bengal Medical College and Hospital Siliguri IndiaDepartment of surgery North Bengal Medical College and Hospital Siliguri IndiaDepartment of surgery Jalal‐Abad State Medical University Jalal‐Abad KyrgyzstanABSTRACT Introduction Infection control in intensive care units (ICUs) is crucial due to the high risk of healthcare‐associated infections (HAIs), which can increase patient morbidity, mortality, and costs. Effective measures such as hand hygiene, use of personal protective equipment (PPE), patient isolation, and environmental cleaning are vital to minimize these risks. The integration of artificial intelligence (AI) offers new opportunities to enhance infection control, from predicting outbreaks to optimizing antimicrobial use, ultimately improving patient safety and care in ICUs. Objectives The primary objectives are to explore AI's impact on predicting HAIs, real‐time monitoring, automated sterilization, resource optimization, and personalized infection control plans. Methodology A comprehensive search of PubMed and Scopus was conducted for relevant articles up to January 2024, including case series, reports, and cohort studies. Animal studies and irrelevant articles were excluded, with a focus on those considered to have significant clinical relevance. Discussion The review highlights AI's prowess in predicting HAIs, surpassing conventional methods. Existing evidence demonstrates AI's efficacy in accurately predicting and mitigating HAIs. Real‐time patient monitoring and alert systems powered by AI are shown to enhance infection detection and patient outcomes. The paper also addresses AI's role in automating sterilization and disinfection, with studies affirming its effectiveness in reducing infections. AI's resource optimization capabilities are exemplified in ICU settings, showcasing its potential to improve resource allocation efficiency. Furthermore, the review emphasizes AI's personalized approach to infection control post‐procedures, elucidating its ability to analyze patient data and create tailored control plans.https://doi.org/10.1002/hsr2.70288artificial intellegencehospital acquired infectionsintensive care unitsmachine learningsurgical site infectionsventilator‐associated pneumonia |
| spellingShingle | Aditya Amit Godbole Paras Maanya Mehra Sumitaksha Banerjee Poulami Roy Novonil Deb Sarang Jagtap Enhancing Infection Control in ICUS Through AI: A Literature Review Health Science Reports artificial intellegence hospital acquired infections intensive care units machine learning surgical site infections ventilator‐associated pneumonia |
| title | Enhancing Infection Control in ICUS Through AI: A Literature Review |
| title_full | Enhancing Infection Control in ICUS Through AI: A Literature Review |
| title_fullStr | Enhancing Infection Control in ICUS Through AI: A Literature Review |
| title_full_unstemmed | Enhancing Infection Control in ICUS Through AI: A Literature Review |
| title_short | Enhancing Infection Control in ICUS Through AI: A Literature Review |
| title_sort | enhancing infection control in icus through ai a literature review |
| topic | artificial intellegence hospital acquired infections intensive care units machine learning surgical site infections ventilator‐associated pneumonia |
| url | https://doi.org/10.1002/hsr2.70288 |
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