Automated Methods for Surveillance of Surgical Site Infections

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Automated Methods for Surveillance of Surgical Site Infections

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Title: Automated Methods for Surveillance of Surgical Site Infections
Author: Platt, Richard; Yokoe, Deborah Stephanie; Sands, Kenneth Eliot Frederick

Note: Order does not necessarily reflect citation order of authors.

Citation: Platt, Richard, Deborah S. Yokoe, and Kenneth E. Sands. 2001. Automated methods for surveillance of surgical site infections. Emerging Infectious Diseases 7(2): 212-216.
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Abstract: Automated 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.
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631728/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10246881
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