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THE EFFECTIVENESS OF MICROBIOLOGY DATA IN THE ELECTRONIC DETECTION OF HEALTHCARE-ASSOCIATED INFECTIONS – A SYSTEMATIC REVIEW

To make healthcare-associated infection (HAI) programs cost-effective, many healthcare institutes use electronic HAI detection systems. Microbiology plays a central role in the detection of HAIs, and thus many HAI detection systems incorporate microbiology results. In this study we analyzed eight systems that applied microbiology data to detect HAIs. Results showed that systems based solely on microbiology have a sensitivity of 72-98% and a specificity of 60-100%. Adding additional data sources resulted in a higher sensitivity, but a substantially lower specificity.