Discovering the New Frontier of Syndromic Surveillance (Pt 3): A Meaningful Use Dialogue on the BioSense Implementation

This webinar is part of the Meaningful Use Webinar Series entitled "Discovering the New Frontier of Syndromic Surveillance: A Meaningful Use Dialogue"


Taha Kass-Hout, MD, MS, Centers for Disease Control and Prevention

Date and Time

Monday, March 19, 2012

September 30, 2017

Survey of Syndromic Surveillance Uses

Syndromic surveillance is the surveillance of healthrelated data that precedes diagnosis to detect a disease outbreak or other health related event that warrants a public health response. Though syndromic surveillance is typically utilized to detect infectious disease outbreaks, its utility to detect bioterrorism events is increasingly being explored by public health agencies.

July 30, 2018

Performance of Sub-Syndrome Chief Complaint Classifiers for the GI Syndrome

The Centers for Disease Control and Prevention BioSense project has developed chief complaint (CC) and ICD9 sub-syndrome classifiers for the major syndromes for early event detection and situational awareness. This has the potential to expand the usefulness of syndromic surveillance, but little data exists evaluating this approach. The overall performance of classifiers can differ significantly among syndromes, and presumably among subsyndromes as well.

July 30, 2018

Using Biosurveillance Whole-System Facsimiles To Compare Aberrancy-Detection Methods: Should BioSense Use SatScan?


A “whole-system facsimile” recreates a complex automated biosurveillance system running prospectively on real historical datasets. We systematized this approach to compare the performance of otherwise identical surveillance systems that used alternative statistical outbreak detection approaches, those used by CDC’s BioSense syndromic system or a popular scan statistics.

July 30, 2018

Automated Monitoring of Exposures Using the BioSense System

BioSense is a national automated surveillance system designed to enhance the nation's capability to rapidly detect and quantify public health emergencies, by accessing and analyzing diagnostic and prediagnostic health data. The BioSense system currently receives near real-time data from more than 540 civilian hospitals, as well as national daily batched data from over 1100 Department of Defense and Veterans Affairs medical facilities. BioSense maps chief complaint and diagnosis data to 11 syndromes and 78 sub-syndromes.

July 30, 2018

Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations

A major goal of biosurveillance is the timely detection of an infectious disease outbreak. Once a disease has been identified, another very important goal is to find all known cases of the disease to assist public health investigators. Natural language processing (NLP) systems may be able to assist in identifying epidemiological variables and decrease time-consuming manual review of records.



July 30, 2018

Identifying Clusters of Falls During the 2007-08 Winter Season in the BioSense System

The purposes of this study are to identify and characterize increases in emergency department (ED) visits for falls during the 2007-08 winter season.

July 30, 2018

BioSense 2.0 Definitions

Definitions for BioSense 2.0 common syndromes.

June 13, 2017

The Performance of Sub-Syndrome Chief Complaint Classifiers for the GI and RESP Syndromes

The Centers for Disease Control and Prevention BioSense has developed chief complaint (CC) and ICD9 sub syndrome classifiers for the major syndromes for early event detection and situational awareness. The prevalence of these sub-syndromes in the emergency department population and the performance of these CC classifiers have been little studied. Chart reviews have been used in the past to study this type of question but because of the large number of cases to review, the labor involved would be prohibitive.

July 30, 2018

Visits with Nontyphoidal Salmonella Infections Reported to the BioSense System, 2006-2007

Biosurveillance systems typically receive free- text chief complaint and coded diagnosis data, however this data has limited specificity for notifiable disease surveillance. The Biosense System receives chief complaint and/or diagnosis data from over 360 hospitals and laboratory results from 24 hospitals in 7 states using the Public Health Information Network Messaging System (PHINMS) and HL7 standards. BioSense also receives final diagnosis from Veterans’ Affairs and Department of Defense outpatient clinics, but these clinics do not currently report laboratory findings.

March 26, 2019


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