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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Veröffentlicht in:	Surgical infections 2011-12, Vol.12 (6), p.459-464
Hauptverfasser:	Apte, Mandar, Landers, Timothy, Furuya, Yoko, Hyman, Sandra, Larson, Elaine
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data Collection - methods Diagnosis, Computer-Assisted Humans International Classification of Diseases Length of Stay - statistics & numerical data New York City Original Original Articles Patient Readmission - statistics & numerical data Reoperation - statistics & numerical data Surgical Wound Infection - epidemiology
Online-Zugang:	Volltext
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