Effectiveness of an artificial intelligence-based training and monitoring system in prevention of nosocomial infections: A pilot study of hospital-based data-Reference-Cited by-同舟云学术

Effectiveness of an artificial intelligence-based training and monitoring system in prevention of nosocomial infections: A pilot study of hospital-based data

Published:2023-10-31 Issue:5 Volume:17 Page:351-356
ISSN:1881-7831
Container-title:Drug Discoveries & Therapeutics
language:en
Short-container-title:DD&T

Author:

Huang Ting¹,Ma Yue¹,Li Shaxi¹,Ran Jianchao¹,Xu Yifan¹,Asakawa Tetsuya²,Lu Hongzhou²

Affiliation:

1. Department of Healthcare-associated Infection Management, National Clinical Research Center for Infectious Diseases, the Third People's Hospital of Shenzhen, Shenzhen, Guangdong, China.

2. Institute of Neurology, National Clinical Research Center for Infectious Diseases, the Third People's Hospital of Shenzhen, Shenzhen, Guangdong, China.

Publisher

International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA)

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics,General Medicine

Link

https://www.jstage.jst.go.jp/article/ddt/17/5/17_2023.01068/_pdf

Reference21 articles.

1. 1. Kouchak F, Askarian M. Nosocomial infections: The definition criteria. Iran J Med Sci. 2012; 37:72-73.

2. 2. Liu JY, Dickter JK. Nosocomial infections: A history of hospital-acquired infections. Gastrointest Endosc Clin N Am. 2020; 30:637-652.

3. 3. Boev C, Kiss E. Hospital-acquired infections: Current trends and prevention. Crit Care Nurs Clin North Am. 2017; 29:51-65.

4. 4. Dai Z, Chen LY, Cai MJ, Yao YH, Zhu JH, Fang LL, Tang R, Liang XM. Clinical characteristics and microbiology of nosocomial enterococcal bloodstream infections in a tertiary-level hospital: A retrospective study, 2007-2019. J Hosp Infect. 2022; 122:203-210.

5. 5. Suleyman G, Alangaden GJ. Nosocomial fungal infections: Epidemiology, infection control, and prevention. Infect Dis Clin North Am. 2021; 35:1027-1053.

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