Validation of Emergency Department and Outpatient Data Using ILI syndrome classifiers
Author(s) -
Jenna Iberg Johnson,
Komal Brown
Publication year - 2015
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v7i1.5749
Subject(s) - emergency department , medicine , medical emergency , outpatient clinic , outpatient visits , diagnosis code , influenza like illness , public health , data science , family medicine , health care , computer science , nursing , environmental health , population , virus , virology , economics , economic growth
The goal of this analysis is to compare the results of influenza-like-illness (ILI) text and International Classification of Diseases (ICD) code classifiers applied to the Louisiana Office of Public Health (OPH) syndromic surveillance data reported by New Orleans area emergency departments and the Greater New Orleans Health Information Exchange (GNOHIE) data reported by New Orleans area outpatient clinics. This study adds to the evidence supporting the emerging use of outpatient data for syndromic surveillance.
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