North Dakota Syndromic Surveillance Program Overview: Onboarding

From the BioSense 2.0 Onboarding Workgroup Meeting, March 4, 2015


Jill K Baber, MPH
Influenza and Syndromic Surveillance Coordinator
North Dakota Department of Health
Division of Disease Control

March 15, 2017

Eligible Hospital (EH) Onboarding Approach for the Meaningful Use (MU) Incentive Program

From the BioSense 2.0 Onboarding Workgroup meeting, February 4, 2015


Promise Nkwocha, MSc. RHCE, New York City Department of Health and Mental Hygiene

March 15, 2017

NYC Onboarding Presentation

This NYC DOHMH presentation details the process for onboarding data into BioSense for the NYC hospitals for certification.

October 25, 2017

An Evaluation of the Biosense 2.0 "Poisoning by Medicines" Syndrome Using Chief-Complaint Data in Utah

BioSense 2.0 uses predetermined syndromes based upon ICD-9 codes and chief complaint data to allow users to view and analyze data from emergency department (ED) visits, yet further validations of these syndromes are needed. Previous studies have validated syndromic surveillance syndromes by comparing chief complaint data to discharge diagnosis; however, these efforts are not possible for jurisdictions in which facilities do not submit ICD-9 code data. Currently in Utah, the syndromic surveillance data submitted includes only chief complaint information.

September 25, 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

Overcoming Operational Differences to Attain a National Picture for Novel Threats

The May arrival of two cases of Middle East Respiratory Syndrome (MERS) in the US offered CDC’s BioSense SyS Program an opportunity to give CDC’s Emergency Operations Center (EOC) and state-and-local jurisdictions an enhanced national picture of MERS surveillance. BioSense jurisdictions can directly query raw data stored in what is known as “the locker.” However, CDC cannot access these data and critical functions, like creating ad-hoc syndrome definitions within the application are currently not possible. These were obstacles to providing the EOC with MERS information.

November 24, 2017

Comparison of Three Critical Syndrome Classifications: Louisiana vs. BioSense

The Louisiana Office of Public Health (OPH) Infectious Disease Epidemiology Section (IDEpi) conducts emergency department (ED) syndromic surveillance using the Louisiana Early Event Detection System (LEEDS). IDEpi has the capability to define and change syndrome definitions in LEEDS based on surveillance needs and quality assurance activities. IDEpi submits all of the ED data to BioSense, which uses different syndrome definitions than LEEDS. Both BioSense and LEEDS use text and ICD code searches in any available chief complaint, admit reason and diagnosis data.

October 02, 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

An Ecological Analysis of the Impact of Temperature Inversion on Emergency Department Visits for Respiratory Syndromes and Subsyndromes using BioSense 2.0 Frontend Data

During the winter months, Utah experiences a temperature inversion which traps pollutants, such as fine particle pollution (PM 2.5), in the Salt Lake Valley. A previous study determined the impact of inversion on ED visits for asthma, however similar phenomena have yet to be examined using the BioSense 2.0 syndromic surveillance system. While similar studies utilize a time-stratified case-crossover design, the absence of individually identifiable information on the dashboard precludes the utilization of this methodology.

October 24, 2017

The National Syndromic Surveillance Program

Join Michael Coletta, CDC Program Manager, for a presentation on the CDC National Syndromic Surveillance Program (NSSP - formerly known as BioSense).  Following a thorough review of the BioSense Program in 2013, CDC initiated the BioSense Enhancement Initiative (BEI) which builds on the past successes, while addressing areas that need improvement, allowing for a national view of syndromic surveillance that will provide many additional public health benefits.

March 14, 2017


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