Interpretation of Standards for Control of Healthcare-associated infections outbreak(WS/T 524-2025)
10.11816/cn.ni.2025-251963
- VernacularTitle:《医院感染暴发控制标准》WS/T 524-2025解读
- Author:
Zhong CHEN
1
;
Shenting LIN
1
;
Bing BAI
1
;
Tieying HOU
1
Author Information
1. 深圳市南山区人民医院(深圳大学附属南山医院)感染科,广州 深圳 518052;深圳市南山区人民医院(深圳大学附属南山医院)深圳市内源性感染诊治研究重点实验室,广州 深圳 518052;深圳市南山区人民医院(深圳大学附属南山医院)南山区医院感染管理质量控制中心,广州 深圳 518052
- Publication Type:Journal Article
- Keywords:
Iatrogenic infection;
Outbreak of healthcare-associated infection;
Prevention;
Control;
Standard inter-pretation
- From:
Chinese Journal of Nosocomiology
2025;35(22):3370-3373
- CountryChina
- Language:Chinese
-
Abstract:
The management of healthcare-associated infections(HAIs)outbreak is a critical component of hospi-tal infection prevention and control,playing a vital role in safeguarding the patients and healthcare workers.The"Standards for Control of Healthcare-Associated Infection Outbreaks(2025 edition)"that was issued by the Na-tional Health Commission was interpreted from the perspectives of scientific validity,applicability and operability.It covers the aspects such as the background of the revision,main contents(including management re-quirements,epidemiological survey,control effect evaluation.It is stressed on the role of information management systems in enhancing the capability for early detection and early warning of HAIs outbreaks.New additions include emergency response procedures for exposures to unconventional pathogens in healthcare settings,outlining specific response measures and key action points.The standard clarifies that infections evolve dynamically and must be cat-egorized based on whether the outbreak pathogen has a defined incubation period.It defines the longest incubation period for assessing effective outbreak control and establishes criteria for identifying new cases.This standard ap-plies to medical institutions of all levels and types and can also be referenced for the control of infection outbreak in temporary special settings during the prevalence of infectious diseases.
