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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Bibliografiske detaljer
Main Authors: Apte, Mandar, Landers, Timothy, Furuya, Yoko, Hyman, Sandra, Larson, Elaine
Format: Artigo
Sprog:Inglês
Udgivet: Mary Ann Liebert, Inc. 2011
Fag:
Original Articles
Online adgang: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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