Full
Outline
To provide a basis for formulating response strategies under the pilot program of the disease control supervisor system, research on disease prevention risk assessment in medical institutions is conducted.
In the pilot work of the disease control supervisor system in medical institutions, the Delphi method, FMEA, and Borda rank method were used to conduct risk evaluation, and ranking of the likelihood, severity, and detectability of disease prevention risks.
10 primary and 53 secondary medical institution disease prevention risk indicators have been constructed, and the risk levels have been classified and ranked:the 10 primary risks were ranked from high to low as infectious disease treatment and prevention and disinfection and isolation, infectious disease monitoring and epidemic reporting, medical waste disposal, pathogenic microorganism laboratory biosafety management, organizational management, facility equipment, personnel allocation and capacity building, infectious disease investigation and epidemic control, information construction and application, preventive vaccination, and others; Among the 53 secondary risks, the top 10 risks were in the following order: One person, one use, one disinfection or sterilization of medical devices>Epidemic control of infectious diseases within the institution=Infection control (protection and isolation)=Compliance with laboratory operating procedures>Professional quality and sense of responsibility of personnel=Implementation of pre examination and triage work system=Hand hygiene>Treatment of infectious disease patients>Prevention and control of key infectious diseases>Compliance with infectious disease epidemic reports in accordance with the law.
In the pilot work of the disease control supervisor system, this study comprehensively applied the Delphi method, FMEA, and Borda ordinal value method to evaluate disease prevention risks, enabling more potential disease prevention risks that are easily overlooked to be identified, warned, tracked, and intervened in a timely manner, forming a closed loop and promoting the integration of medical and prevention. This is a new thinking and method that can provide a reference for various regions.
34
19
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
