Abstract
To simplify the data mining surveillance system for the monitoring of surgical site infections (SSIs), electronic analysis of a total of 3100 patients was done. Using Layered Analyses, the Cross-Table option of a globally available software detected emerging or disappearing SSIs according to specific parameters. This methodology may facilitate the detection of SSI shifts.
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Yoshida, J., Umeda, S., Shinohara, M. et al. Simple methodology for detecting time shifts in surgical site infections: a study in digestive, breast, and thoracic surgery. J Infect Chemother 13, 56–58 (2007). https://doi.org/10.1007/s10156-006-0482-7
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DOI: https://doi.org/10.1007/s10156-006-0482-7