title: Simple methodology for detecting time shifts in surgical site infections: a study in digestive, breast, and thoracic surgery.
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.
authors.affiliation: Department of Surgery, Shimonoseki City Central Hospital, Shimonoseki 750-8520, Japan. cokeieik@city.shimonoseki.yamaguchi.jp
authors.forename: Junichi
authors.initials: J
authors.lastname: Yoshida
authors.forename: Shuyo
authors.initials: S
authors.lastname: Umeda
authors.forename: Masahiro
authors.initials: M
authors.lastname: Shinohara
authors.forename: Kenichi
authors.initials: K
authors.lastname: Matsuo
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D003628:Database Management Systems; D006801:Humans; D017053:Infection Control / Q000379:methods / Q000706:statistics & numerical data*; D016247:Information Storage and Retrieval / Q000379:methods*; D007564:Japan / Q000453:epidemiology; D008875:Middle Aged; D012189:Retrospective Studies; D018571:Sentinel Surveillance; D013530:Surgical Wound Infection / Q000453:epidemiology*; D013997:Time Factors