|
" Emergency Department Chief Complaint and Diagnosis Data to Detect Influenza-Like Illness with an Electronic Medical Record "
May, Larissa S; Griffin, Beth Ann; Bauers, Nicole Maier; Jain, Arvind; Mitchum, Marsha; Sikka, Neal; Carim, Marianne; Stoto, Michael A
| Document Type
|
:
|
AL
|
| Record Number
|
:
|
934438
|
| Doc. No
|
:
|
LA9gq782tz
|
| Language of Document
|
:
|
English
|
| Main Entry
|
:
|
May, Larissa S; Griffin, Beth Ann; Bauers, Nicole Maier; Jain, Arvind; Mitchum, Marsha; Sikka, Neal; Carim, Marianne; Stoto, Michael A
|
| Title & Author
|
:
|
Emergency Department Chief Complaint and Diagnosis Data to Detect Influenza-Like Illness with an Electronic Medical Record [Article]\ May, Larissa S; Griffin, Beth Ann; Bauers, Nicole Maier; Jain, Arvind; Mitchum, Marsha; Sikka, Neal; Carim, Marianne; Stoto, Michael A
|
| Title of Periodical
|
:
|
Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health
|
| Volume/ Issue Number
|
:
|
11/1
|
| Date
|
:
|
2010
|
| Abstract
|
:
|
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.
|
| |