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Simple methodology for detecting time shifts in surgical site infections: a study in digestive, breast, and thoracic
Junichi Yoshida1, Shuyo Umeda, Masahiro Shinohara
1Department of Surgery, Shimonoseki City Central Hospital, Shimonoseki 750-8520, Japan. cokeieik@city.shimonoseki.yamaguchi.jp
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.
