Data Quality Improvements in National Syndromic Surveillance Program (NSSP) Data

The National Syndromic Surveillance Program (NSSP) is a community focused collaboration among federal, state, and local public health agencies and partners for timely exchange of syndromic data. These data, captured in nearly real time, are intended to improve the nation's situational awareness and responsiveness to hazardous events and disease outbreaks.

January 21, 2018

Nonparametric Models for Identifying Gaps in Message Feeds

Timely and accurate syndromic surveillance depends on continuous data feeds from healthcare facilities. Typical outlier detection methodologies in syndromic surveillance compare predictions of counts for an interval to observed event counts, either to detect increases in volume associated with public health incidents or decreases in volume associated with compromised data transmission.

January 25, 2018

Data Quality

Problem Summary

Data collection across a growing stream of contributing facilities and variables requires automated, consistent, and efficient monitoring of quality. Epidemiologists tasked with analyzing syndromic data need to be confident in the overall quality of their data, and aware of the effects of poor data quality when interpreting data. Data quality is also increasingly important as data are shared across jurisdictions and combined for analysis.

October 30, 2017

Delay between Discharge and Admit Time Delay in ADT-A03 messages via LEEDS

The Infectious Disease Epidemiology Section (IDEpi) within the Office of Public Health (LaOPH) conducts syndromic surveillance of emergency departments by means of the Louisiana Early Event Detection System (LEEDS). LEEDS accepts ADT (admit-discharge transfer) messages from participating hospitals, predominately A04 (registration) and A03 (discharge), to obtain symptom or syndrome information on patients reporting to hospital emergency departments.

September 07, 2017

Data quality monitoring for syndromic surveillance using R: A tidy approach

Presented July 27, 2017.

The inferences we make from data can only be as good as the quality of the data; making sure that we are receiving timely, quality data is important. In this presentation, Mark White will describe a number of functions that he has written to perform data quality checks on Kansas emergency department records from NSSP’s BioSense Platform.

September 21, 2017

Data Quality Committee (DQC)

Our mission as the Data Quality Committee is to engage the NSSP Community of Practice to identify and attempt to address syndromic surveillance data quality challenges with thoughtful discussion and the inclusion of outside stakeholders. We strive to foster relationships between all groups with a hand in syndromic messaging in order to better syndromic surveillance practice for everyone. 

 

October 31, 2018

Early effect of validation efforts of Massachusetts syndromic surveillance data

As a participant in the National Syndromic Surveillance Program (NSSP), the Massachusetts Department of Public Health (MDPH) has worked closely with our statewide Health Information Exchange (HIE) and National Syndromic Surveillance Program (NSSP) technical staff to collect and transmit emergency department (ED) data from eligible hospitals (EHs) to the NSSP. Our goal is to ensure complete and accurate data using a multi-step process beginning with pre-production data and continuing after EHs are sending live data to production.

Objective

July 27, 2017

Evaluating the application and utility of ESSENCE for early event detection

In spite of the noted benefits of syndromic surveillance, and more than a decade after it started gaining support, the primary use for syndromic surveillance appears to be largely for seasonal and jurisdictional disease monitoring, event response and situational awareness as opposed to its intended purpose of early event detection.

July 27, 2017

Evaluation of chlamydia and gonorrhea electronic provider reports data quality

Electronic case reporting (eCR) is defined as the fully or semiautomated generation and electronic transmission of reportable disease case reports from an electronic health record (EHR) system to public health authorities, replacing the historically paper-based process. ECR has been reported to increase the number, accuracy, completeness and timeliness of surveillance case reports.

July 27, 2017

NIST Syndromic Surveillance Test Suite 2015 Edition

Details about the ONC 2015 Edition certification criteria for Syndromic Surveillance and the related NIST Test Suite were explained previously. We now provide an overview and key information regarding updates to the Test Suite and how it is designed to be used.

Objective

The NIST Syndromic Surveillance Test Suite for 2015 Edition ONC certification testing was published in February 2016. Key information related to the purpose, development, and use of this conformance test tool is provided via snapshots on a poster.

August 03, 2017

Pages

Contact Us

NSSP Community of Practice

Email: syndromic@cste.org

 

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