國家衛生研究院 NHRI:Item 3990099045/13353

NHRI > National Institute of Infectious Diseases and Vaccinology > Yee-Chun Chen > Periodical Articles > Item 3990099045/13353

Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/13353

Title:	A web-based, hospital-wide health care-associated bloodstream infection surveillance and classification system: Development and evaluation
Authors:	Tseng, YJ;Wu, JH;Lin, HC;Chen, MY;Ping, XO;Sun, CC;Shang, RJ;Sheng, WH;Chen, YC;Lai, F;Chang, SC
Contributors:	National Institute of Infectious Diseases and Vaccinology
Abstract:	Background: Surveillance of health care-associated infections is an essential component of infection prevention programs, but conventional systems are labor intensive and performance dependent. Objective: To develop an automatic surveillance and classification system for health care-associated bloodstream infection (HABSI), and to evaluate its performance by comparing it with a conventional infection control personnel (ICP)-based surveillance system. Methods: We developed a Web-based system that was integrated into the medical information system of a 2200-bed teaching hospital in Taiwan. The system automatically detects and classifies HABSIs. Results: In this study, the number of computer-detected HABSIs correlated closely with the number of HABSIs detected by ICP by department (n=20; r=.999 P<.001) and by time (n=14; r=.941; P<.001). Compared with reference standards, this system performed excellently with regard to sensitivity (98.16%), specificity (99.96%), positive predictive value (95.81%), and negative predictive value (99.98%). The system enabled decreasing the delay in confirmation of HABSI cases, on average, by 29 days. Conclusions: This system provides reliable and objective HABSI data for quality indicators, improving the delay caused by a conventional surveillance system.
Date:	2015-09-21
Relation:	JMIR Medical Informatics. 2015 Sep 21;3(3):Article number e31.
Link to:	http://dx.doi.org/10.2196/medinform.4171
JIF/Ranking 2023:	http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2291-9694&DestApp=IC2JCR
Cited Times(Scopus):	https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85054010565
Appears in Collections:	[Yee-Chun Chen] Periodical Articles

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