Literature DB >> 15235376

Investigation of an electronic emergency department information system as a data source for respiratory syndrome surveillance.

John M Townes1, Melvin A Kohn, Karen L Southwick, Christopher A Bangs, Andrew D Zechnich, J A Magnuson, Jonathan Jui.   

Abstract

Emergency department syndromic surveillance may provide early warning of disease outbreaks due to bioterrorism or natural phenomena. The purpose of this investigation was to explore how an electronic emergency department information system could be used as a data source for respiratory syndrome surveillance. The process of data collection, entry, and transmission is described, and then a subset of data elements with potential epidemiological value is selected. The quality of the data contained in the system was evaluated by conducting a retrospective analysis of emergency department visits recorded in the system during 2001 and by reviewing clinical charts of cases with respiratory diagnoses. Diagnosis codes, discharge disposition, and demographic data were relatively complete; additional clinical data were not. Diagnosis codes were rapidly and reliably recorded. Data available in the system allows a description of emergency department visits for respiratory syndrome in terms of age, gender, location, severity of illness, and distribution in time. Encrypted data were transmitted every four hours to the health department without added work for emergency department personnel. Although significant obstacles remain, electronic emergency department information systems such as this may provide rapid, reliable data for syndromic surveillance.

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Year:  2004        PMID: 15235376     DOI: 10.1097/00124784-200407000-00006

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  9 in total

1.  Supporting patient care in the emergency department with a computerized whiteboard system.

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Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

Review 2.  Climate change: the public health response.

Authors:  Howard Frumkin; Jeremy Hess; George Luber; Josephine Malilay; Michael McGeehin
Journal:  Am J Public Health       Date:  2008-01-30       Impact factor: 9.308

3.  Using age, triage score, and disposition data from emergency department electronic records to improve Influenza-like illness surveillance.

Authors:  Noémie Savard; Lucie Bédard; Robert Allard; David L Buckeridge
Journal:  J Am Med Inform Assoc       Date:  2015-02-26       Impact factor: 4.497

Review 4.  Using chief complaints for syndromic surveillance: a review of chief complaint based classifiers in North America.

Authors:  Mike Conway; John N Dowling; Wendy W Chapman
Journal:  J Biomed Inform       Date:  2013-04-17       Impact factor: 6.317

5.  Assessing capacity and disease burden in a virtual network of New York City primary care providers following Hurricane Sandy.

Authors:  Kimberly Sebek; Laura Jacobson; Jason Wang; Remle Newton-Dame; Jesse Singer
Journal:  J Urban Health       Date:  2014-08       Impact factor: 3.671

6.  ED syndromic surveillance for novel H1N1 spring 2009.

Authors:  Marc A Bellazzini; Kyle D Minor
Journal:  Am J Emerg Med       Date:  2010-03-25       Impact factor: 2.469

7.  Measuring Subcounty Differences in Population Health Using Hospital and Census-Derived Data Sets: The Missouri ZIP Health Rankings Project.

Authors:  Elna Nagasako; Brian Waterman; Mathew Reidhead; Min Lian; Sarah Gehlert
Journal:  J Public Health Manag Pract       Date:  2018 Jul/Aug

8.  Syndromic surveillance: hospital emergency department participation during the Kentucky Derby Festival.

Authors:  Ruth Carrico; Linda Goss
Journal:  Disaster Manag Response       Date:  2005 Jul-Sep

9.  Using Ontario's "Telehealth" health telephone helpline as an early-warning system: a study protocol.

Authors:  Elizabeth Rolland; Kieran M Moore; Victoria A Robinson; Don McGuinness
Journal:  BMC Health Serv Res       Date:  2006-02-15       Impact factor: 2.655

  9 in total

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