@inproceedings{edfcdb210dc44224965171e8d1740a99,
title = "Rule-based healthcare-associated bloodstream infection classification and surveillance system",
abstract = "Healthcare-associated infections (HAIs) are a major patient safety issue. These adverse events add to the burden of resource use, promote resistance to antibiotics, and contribute to patient deaths and disability. A rule-based HAI classification and surveillance system was developed for automatic integration, analysis, and interpretation of HAIs and related pathogens. Rule-based classification system was design and implement to facilitate healthcare-associated bloodstream infection (HABSI) surveillance. Electronic medical records from a 2200-bed teaching hospital in Taiwan were classified according to predefined criteria of HABSI. The detailed information in each HABSI was presented systematically to support infection control personnel decision. The accuracy of HABSI classification was 0.94, and the square of the sample correlation coefficient was 0.99.",
keywords = "Healthcare-associated infection, Infection control, Information systems, Surveillance, Web-based services",
author = "Tseng, {Yi Ju} and Wu, {Jung Hsuan} and Lin, {Hui Chi} and Chiu, {Hsiang Ju} and Huang, {Bo Chiang} and Shang, {Rung Ji} and Chen, {Ming Yuan} and Chen, {Wei Hsin} and Chen, {Huai Te} and Feipei Lai and Chen, {Yee Chun}",
year = "2013",
doi = "10.3233/978-1-61499-240-0-145",
language = "???core.languages.en_GB???",
isbn = "9781614992394",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "145--149",
booktitle = "Data and Knowledge for Medical Decision Support",
note = "13th EFMI Special Topic Conference: Data and Knowledge for Medical Decision Support, EFMI STC 2013 ; Conference date: 17-04-2013 Through 19-04-2013",
}