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...
| Publicado en: | Surgical Infections Vol. 12; no. 6; pp. 459 - 465 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
2011 Dec
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| Acceso en línea: | Ver este registro en EBSCOhost |