Application and research progress of artificial intelligence technology in healthcare-associated infection management
10.12138/j.issn.1671-9638.20252397
- VernacularTitle:人工智能技术在医院感染管理中的应用与研究进展
- Author:
Xinyi LIU
1
;
Pengchao FAN
1
;
Wenzhi LIU
1
Author Information
1. 大连医科大学附属第二医院疾病预防与医院感染控制部,辽宁大连 116023
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
healthcare-associated infection management;
multidrug-resistant organism
- From:
Chinese Journal of Infection Control
2025;24(11):1671-1680
- CountryChina
- Language:Chinese
-
Abstract:
In recent years,the escalating risks of healthcare-associated infection(HAI)and the transmission of multidrug-resistant organisms have emerged as significant global public health challenges,posing a grave threat to medical care quality and safety.HAI prevention and control are confronted with issues such as pathogen transmis-sion complex routes,dynamic changes in infection risks of specific populations,and the lag in traditional monitoring methods.Traditional HAI management model relies on manual monitoring and information systems,presenting pre-dicaments such as low efficiency,fragmented data,and delayed warnings.Artificial intelligence(AI)technology in-tegrates electronic health records(EHRs),vital signs,and other clinical data to develop predictive models based on machine learning(ML)and deep learning(DL),and has enhanced multimodal data fusion and real-time dynamic analysis capabilities,demonstrating significant advantages in risk prediction,early diagnosis,and precision interven-tion of HAI.This paper systematically reviews the developmental trajectory,scientific achievements,and innovative practices of AI technology in HAI management,delves into existing bottlenecks such as data quality,algorithm relia-bility,and ethical norms,aiming to provide theoretical and practical references for establishing intelligent and pre-cise HAI prevention and control system.
