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Data Requirements for Electronic Surveillance of Healthcare-Associated Infections

Published online by Cambridge University Press:  10 May 2016

Keith F. Woeltje*
Center for Clinical Excellence, BJC HealthCare, and Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
Michael Y. Lin
Department of Medicine, Rush University Medical Center, Chicago, Illinois
Michael Klompas
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
Marc Oliver Wright
Departments of Quality and Infection Control, NorthShore University HealthSystem, Evanston, Illinois
Gianna Zuccotti
Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts Partners eCare, Partners HealthCare, Boston, Massachusetts
William E. Trick
Department of Medicine, Cook County Health and Hospitals System, Chicago, Illinois
Infectious Diseases Division, Washington University School of Medicine, Campus Box 8051, 660 South Euclid Avenue, St. Louis, MO 63110 (


Electronic surveillance for healthcare-associated infections (HAIs) is increasingly widespread. This is driven by multiple factors: a greater burden on hospitals to provide surveillance data to state and national agencies, financial pressures to be more efficient with HAI surveillance, the desire for more objective comparisons between healthcare facilities, and the increasing amount of patient data available electronically. Optimal implementation of electronic surveillance requires that specific information be available to the surveillance systems. This white paper reviews different approaches to electronic surveillance, discusses the specific data elements required for performing surveillance, and considers important issues of data validation.

Infect Control Hosp Epidemiol 2014;35(9):1083-1091

SHEA White Paper
© 2014 by The Society for Healthcare Epidemiology of America. All rights reserved.

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