Alert-Enabled Application Integrating Data Quality Monitoring for Multiple Sources

Data sets from disparate sources widely vary in the number and type of factors which most hamper integrity and timeliness of the data. To maintain high quality data, data sets must be regularly assessed, particularly for those vulnerabilities that each is especially prone to due to the methods involved in collecting the data. For surveillance practitioners charged with monitoring data from multiple data sources, keeping track of the issues that each data set is susceptible to, and quickly identifying any inconsistencies or deviations from normal trends, may be a challenge.

August 07, 2017

Factors Influencing the Stability and Quality of the French ED Surveillance System

Since 2004, the French syndromic surveillance system Oscour® has been implemented by the national institute for public health surveillance (InVS) and is daily used to detect and follow-up various public health events all over the territory [1]. Beginning with 23 ED in 2004, the coverage and data quality have permanently been increasing until including about 650 ED in August 2015.

September 11, 2017

National Syndromic Surveillance Program (NSSP) BioSense Data Quality Workgroup

To provide community input on data quality issues and enhance data quality through sharing and testing of scripts.

Summary of activities:

The Data Quality workgroup has worked to address Data Quality issues through the development, sharing and testing of scripts. The Data Quality workgroup formed a DQ EHR-Vendor Concern Subcommittee to address issues across vendors nationwide. 

March 13, 2017

KS Onboarding Presentation

These slides provide an overview of the onboarding process for jurisdictions in Kansas supplying data for BioSense. This presentation emphasizes steps needed to improve data quality.

October 29, 2017

National Syndromic Surveillance Program (NSSP) BioSense Onboarding Workgroup - Report


To share best practices for onboarding amongst community members in the interest of improving onboarding efforts nationally.

October 29, 2017

National Syndromic Surveillance Program (NSSP) BioSense Syndrome Definitions Workgroup - Report

This report summarizes a series of seven meetings of the Syndrome Definition Workgroup held in 2014 and 2015.


To review, validate, and modify syndromes and provide community input on a process to update or develop syndromes.

October 29, 2017

Assessing the Potential Impact of the BioSense 24-hour Rule Using NC DETECT ED Data

Per a frequently asked questions document on the ISDS website, approximately two thirds of HL7 records received in BioSense do not provide a Visit ID. As a result, BioSense data processing rules use the patient ID, facility ID and earliest date in the record to identify a unique visit. If the earliest dates in records with the same patient ID and facility ID occur within the same 24-hour time frame, those two visits are combined into one visit and the earliest date will be stored.

September 28, 2017

Validation of New Jersey Emergency Department (ED) Registration Data in BioSense 2.0

BioSense 2.0, a redesigned national syndromic surveillance system, provides users with timely regional and national data classified into disease syndromes, with views of health outcomes and trends for use in situational awareness. As of July 2014, there are 60 jurisdictions nationwide feeding data into BioSense 2.0. In New Jersey, the state’s syndromic surveillance system, EpiCenter, receives registration data from 75 of NJ’s 80 acute care and satellite emergency departments. EpiCenter is a system developed by Health Monitoring Systems, Inc.

December 29, 2017

Comparison between HL7 and Legacy Syndromic Surveillance Data in New York City

Data from the Emergency Departments (EDs) of 49 hospitals in New York City (NYC) is sent to the Department of Health and Mental Hygiene (DOHMH) daily as part of the syndromic surveillance system. Currently, thirty-four of the EDs transmit data as flat files. As part of the Center for Medicare and Medicaid Services Electronic Health Record Incentive Program, otherwise known as Meaningful Use, many EDs in our system have switched or are in the process of switching to HL7 Messaging Standard Version 2.5.1.

October 02, 2017

Comparison of ILINet and ESSENCE for Influenza Surveillance at the Local Level

ILINet is used nationwide by sentinel healthcare providers for reporting weekly outpatient visit numbers for influenza-like illness to CDC. The Florida Department of Health receives urgent care center (UCC) data through ESSENCE from participating facilities. Seminole County is unique in that its four sentinel providers located in separate UCCs report into both systems, and all their discharge diagnoses are available through ESSENCE.

October 02, 2017


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