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Comparison of Two Computer Algorithms To Identify Surgical Site Infections
BACKGROUND: Surgical site infections (SSIs), the second most common healthcare-associated infections, increase hospital stay and healthcare costs significantly. Traditional surveillance of SSIs is labor-intensive. Mandatory reporting and new non-payment policies for some SSIs increase the need for e...
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| Huvudupphovsmän: | , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Mary Ann Liebert, Inc.
2011
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3279712/ https://ncbi.nlm.nih.gov/pubmed/22136489 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/sur.2010.109 |
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