Automated Methods for Surveillance of Surgical Site Infections
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CitationPlatt, Richard, Deborah S. Yokoe, and Kenneth E. Sands. 2001. Automated methods for surveillance of surgical site infections. Emerging Infectious Diseases 7(2): 212-216.
AbstractAutomated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potential improvements include better sensitivity, less susceptibility to interobserver variation, more uniform availability of data, more precise estimates of infection rates, and better adjustment for patients' coexisting illness.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10246881
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