Semiautomated surveillance of deep surgical site infections after primary total hip or knee arthroplasty

ME Sips, MJM Bonten, MSM van Mourik

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)732-735
Number of pages4
JournalInfection control and hospital epidemiology
Volume38
Issue number6
DOIs
Publication statusPublished - Jun 2017

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