Computer Algorithms To Detect Bloodstream Infections-Reference-Cited by-同舟云学术

Computer Algorithms To Detect Bloodstream Infections

Published:2004-09 Issue:9 Volume:10 Page:1612-1620
ISSN:1080-6040
Container-title:Emerging Infectious Diseases
language:
Short-container-title:Emerg. Infect. Dis.

Author:

Trick William E.¹,Zagorski Brandon M.²,Tokars Jerome I.¹,Vernon Michael O.²,Welbel Sharon F.³,Wisniewski Mary F.⁴,Richards Chesley¹,Weinstein Robert A.³

Affiliation:

1. Centers for Disease Control and Prevention, Atlanta, Georgia, USA;

2. Chicago Antimicrobial Resistance Project, Chicago, Illinois, USA;

3. Chicago Antimicrobial Resistance Project, Chicago, Illinois, USA;Cook County Hospital, Chicago, Illinois, USA;Rush Medical College, Chicago, Illinois, USA

4. Chicago Antimicrobial Resistance Project, Chicago, Illinois, USA;Cook County Hospital, Chicago, Illinois, USA;

Publisher

Centers for Disease Control and Prevention (CDC)

Subject

Infectious Diseases,Microbiology (medical),Epidemiology

Reference24 articles.

1. Kohn LT, Corrigan JM, Donaldson MS. To err is human: building a safer health system. In: Committee on quality of health care in America, Institute of Medicine report. Washington: National Academy of Press; 2000.

2. Guidelines for the prevention of intravascular catheter-related infections.;O'Grady;MMWR Recomm Rep,2002

3. The impact of hospital-acquired bloodstream infections.;Wenzel;Emerg Infect Dis,2001

4. Outcomes of primary and catheter-related bacteremia. A cohort and case-control study in critically ill patients.;Renaud;Am J Respir Crit Care Med,2001

5. Patient safety: infection control-a problem for patient safety.;Burke;N Engl J Med,2003

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