A web-based, hospital-wide health care-associated bloodstream infection surveillance and classification system: Development and evaluation

Yi Ju Tseng, Jung Hsuan Wu, Hui Chi Lin, Ming Yuan Chen, Xiao Ou Ping, Chun Chuan Sun, Rung Ji Shang, Wang Huei Sheng, Yee Chun Chen, Feipei Lai, Shan Chwen Chang

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish
Article numbere31
JournalJMIR Medical Informatics
Volume3
Issue number3
DOIs
StatePublished - Jul 2015

Keywords

  • Health care-associated infection
  • Infection control
  • Information systems
  • Surveillance
  • Web-based services

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