Real-time identification and early warning on drug-resistant bacteria by information technology
10.12138/j.issn.1671-9638.20193704
- VernacularTitle:采用信息化技术实时标识与预警耐药菌
- Author:
Chen-Rong MI
1
;
Qun WANG
;
Yi-Chen WANG
;
Yu-Xing NI
;
Yi-Bo ZHANG
;
Wen-Hui LI
;
Da-Ke SHI
;
Chen WANG
;
Li-Zhong HAN
Author Information
1. 上海交通大学医学院附属瑞金医院院感科
- Keywords:
healthcare-associated infection;
software;
informationization;
interface;
drug-resistant bacteria;
identification;
early warning
- From:
Chinese Journal of Infection Control
2019;18(2):105-110
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the method of real-time identification and early warning of drug-resistant bacteria through information technology, timely obtain information about drug-resistant bacteria in clinic.Methods Interface of Hospital Information System (HIS), Laboratory Information Management System (LIS) and healthcare-associated infection (HAI) surveillance system were reconstructed in 2015, HL7 was used as interface framework to design standard, LIS was as baseline data source and HIS as patient information database, multi-information exchange was implemented on the commonly used interface, identification and early warning of detected drug-resistant bacteria was conducted, identification of drug-resistant bacteria before and after informationization was compared.Results Through the information construction, the information interface showed that the rules of drug-resistant bacteria determination can be changed at will, data results were more accurate and timely.The judgment time of manual review was reduced from 30 minutes to 2 minutes every day, information of drug-resistant bacteria can be obtained timely and conveniently on any internal network computer by clinical staff.After timely identification and intervention of drug-resistant bacteria, 284, 289 and 309 strains of drug-resistant bacteria were detected in key departments of HAI control in 2015-2017, drug-resistant bacteria per 1 000 bed-day were 9.23‰ (284/30 773), 8.91‰ (289/32 429), and 8.34‰ (309/37 031) respectively, with a slight decrease.Conclusion Through information technology, drug-resistant bacteria can be found timely, and new drug-resistant bacteria can be identified and intervened in time, so as to effectively reduce the infection rate of drug-resistant bacteria.
