Emergency Department Chief Complaint and Diagnosis Data to Detect Influenza-Like Illness with an Electronic Medical Record
UC Irvine Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health Title Emergency Department Chief Complaint and Diagnosis Data to Detect Influenza-Like Illness with an Electronic Medical Record Permalink https://escholarship.org/uc/item/9gq782tz Journal Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, 11(1) ISSN 1936-900X Authors May, Larissa S Griffin, Beth Ann Bauers, Nicole Maier et al. Publication Date 2010 License https://creativecommons.org/licenses/by-nc/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Original research Emergency Department Chief Complaint and Diagnosis Data to Detect Influenza-Like Illness with an Electronic Medical Record Larissa S. May, MD, MS* * The George Washington University, Department of Emergency Medicine, Beth Ann Griffin, PhD† Washington, D.C Nicole Maier Bauers, MS‡ † RAND Corporation, Center for Domestic and International Health Security, Arvind Jain, MS† Arlington VA Marsha Mitchum, MS, MPHҰ ‡ The George Washington University School of Public Health, Washington, D.C. Neal Sikka, MD* Ұ The George Washington University School of Medicine, Washington, D.C. Marianne Carim, MDҰ € Georgetown University School of Nursing and Health Studies Michael A. Stoto, PhD€ Supervising Section Editor: Scott E. Rudkin, MD, MBA Submission history: Submitted August 28, 2009; Revision Received July 22, 2009; Accepted July 22, 2009 Reprints available through open access at http://escholarship.org/uc/uciem_westjem Background: The purpose of syndromic surveillance is early detection of a disease outbreak. Such systems rely on the earliest data, usually chief complaint. The growing use of electronic medical records (EMR) raises the possibility that other data, such as emergency department (ED) diagnosis, may provide more specific information without significant delay, and might be more effective in detecting outbreaks if mechanisms are in place to monitor and report these data.
[Show full text]