A Simple Method of Using Linked Health Data in Syndromic Surveillance

This paper describes a simple technique for utilizing linked health information in syndromic surveillance. Using knowledge of which patient encounters resulted in laboratory test requests and prescriptions may improve sensitivity and specificity of detection algorithms.

July 30, 2018

Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance

We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI.

July 30, 2018

Diagnosis Coding Anomalies Resulting in Hemorrhagic Illness Alerts in Veterans Health Administration Outpatient Clinics

The Veterans Health Administration (VHA) operates over 880 outpatient clinics across the nation. The Johns Hopkins Applied Physics Laboratory’s Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) utilizes VHA ICD9 coded outpatient visit data for the detection of abnormal patterns of disease occurrence.

March 26, 2019

Linking Public Health and Healthcare Data for Syndromic Surveillance

A number of syndromic surveillance systems include tools that quickly identify potentially large disease outbreak events. However, the high falsepositive rate continues to be a problem in all of these systems. Our earlier work has showed that multi-source information fusion can improve specificity of the syndromic surveillance systems. However, an anomalous health event that presents as only a few cases may remain undetected because the chief complaint data does not contain enough details. New linked data sources need to be used to enhance detection capabilities.

March 26, 2019

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