title: Semiautomated Surveillance of Deep Surgical Site Infections After Primary Total Hip or Knee Arthroplasty.
abstract: Manual surveillance of surgical site infections (SSIs) after total hip or knee arthroplasty is time-consuming and prone to error. Semiautomated surveillance based on routine care data extracted from electronic health records can retrospectively identify deep SSIs and substantially reduce workload while maintaining 100% sensitivity. Infect Control Hosp Epidemiol 2017;38:732-735.
authors.affiliation: 1Julius Center for Health Sciences and Primary Care,University Medical Center Utrecht,Utrecht,The Netherlands.
authors.forename: Meander E
authors.initials: ME
authors.lastname: Sips
authors.affiliation: 1Julius Center for Health Sciences and Primary Care,University Medical Center Utrecht,Utrecht,The Netherlands.
authors.forename: Marc J M
authors.initials: MJM
authors.lastname: Bonten
authors.affiliation: 2Department of Medical Microbiology,University Medical Center Utrecht,Utrecht,The Netherlands.
authors.forename: Maaike S M
authors.initials: MSM
authors.lastname: van Mourik
mesh_terms: D000368:Aged; D019644:Arthroplasty, Replacement, Hip / Q000009:adverse effects*; D019645:Arthroplasty, Replacement, Knee / Q000009:adverse effects*; D057286:Electronic Health Records; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D011159:Population Surveillance / Q000379:methods*; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D018570:Risk Assessment / Q000379:methods; D013530:Surgical Wound Infection / Q000175:diagnosis* / Q000209:etiology