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 language | English |
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Pages (from-to) | 732-735 |
Number of pages | 4 |
Journal | Infection control and hospital epidemiology |
Volume | 38 |
Issue number | 6 |
DOIs | |
Publication status | Published - Jun 2017 |