NSSP Data Quality (DQ) Dashboard demo

The DQ Dashboard is an interactive tool developed to help you identify potential data processing issues and to ensure useful syndromic data by measuring the timeliness, completeness, and validity of data being processed on the BioSense Platform.

September 20, 2019

BioSense Platform: Introduction to SAS Studio Basics

Presented December 4, 2018.

The Webinar, Introduction of SAS Studio Basics to the BioSense Platform, will include overviews, summaries, tips, tricks, and examples across a number of SAS topics on the BioSense Platform. Some of these topics will include the BioSense Platform SAS Pilot background and summary, the SAS Studio overview and setup, neat SAS features, code examples, and how to perform an API call from ESSENCE.

Presenters

Roseanne English, BS, Analytic Data Management Lead, CDC 

December 06, 2018

NSSP’s Master Facility Table (MFT) Module Overview

Presented July 25, 2018.

July 31, 2018

Use of Diagnosis Code in Mental Health Syndrome Definition

Between 2006 and 2013, the rate of emergency department (ED) visits related to mental and substance use disorders increased substantially. This increase was higher for mental disorders visits (55 percent for depression, anxiety or stress reactions and 52 percent for psychoses or bipolar disorders) than for substance use disorders (37 percent) visits. This increasing number of ED visits by patients with mental disorders indicates a growing burden on the health-care delivery system.

January 19, 2018

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

BioSense Platform Data Flow - Part 3 - Legacy Data Conversion and Transition Plan

The National Syndromic Surveillance Program (NSSP) is conducting a three-part webinar series to describe how data will flow to the BioSense Platform. This comprehensive series explores how data are ingested into the BioSense Platform and ESSENCE application and how BioSense 2.0 data are being migrated.

February 28, 2017

BioSense Platform Data Flow - Part 2 - Introduction to ESSENCE Configuration for BioSense Platform

The National Syndromic Surveillance Program (NSSP) is conducting a three-part webinar series to describe how data will flow to the BioSense Platform. This comprehensive series explores how data are ingested into the BioSense Platform and ESSENCE application and how BioSense 2.0 data are being migrated.

February 28, 2017

BioSense Platform Data Flow - Part 1- Data Ingestion into the BioSense Platform

The National Syndromic Surveillance Program (NSSP) is conducting a three-part webinar series to describe how data will flow to the BioSense Platform. This comprehensive series explores how data are ingested into the BioSense Platform and ESSENCE application and how BioSense 2.0 data are being migrated.

Part 1: Data Ingestion into the BioSense Platform will describe the overall data flow and data structures for the BioSense Platform. The webinar will present the rationale behind the proposed data elements and processing requirements for the new data archive.  

February 28, 2017

New Master Facility Table: Improving the Quality of Facility Data

The Division of Health Informatics and Surveillance (DHIS) team has been working to clean, standardize, and improve the quality of data on the Master Facility Table (MFT). The MFT provides a unique identifier for each facility along with facility name, location, type, and other essential information. 

March 14, 2017

BioSense Real-Time Data Initiative: Improving Emergency Preparedness- Monitoring Injury Sub-Syndromes

Analysis of the BioSense data facilitates the identification, tracking, and management of emergent and routine health events, including potential bioterrorism events, injury related incidents and rapidly spreading naturally occurring events (1).  BioSense enhances coordination between all levels of public health and healthcare by providing access to the same data at the same time which can ultimately produce a faster and more coordinated response.  BioSense is a network of networks rather than a stand-alone program.

July 30, 2018

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