Evaluation of DoD Syndrome Mapping and Baseline for ICD-9-CM to ICD-10-CM Transition

The Department of Defense conducts syndromic surveillance of health encounter visits of Military Health System (MHS) beneficiaries. Providers within the MHS assign up to 10 diagnosis codes to each health encounter visit. The diagnosis codes are grouped into syndrome and sub-syndrome categories. On October 1, 2015, the Health and Human Services-mandated transition from ICD- 9-CM to ICD-10-CM required evaluation of the syndrome mappings to establish a baseline of syndrome rates within the DoD. The DoD data within the BioSense system currently utilizes DoD ESSENCE syndrome mappings.

June 11, 2017

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

Using Sydromic Surveillance to Track E-cigarette Related Emergency Department Visits

The North Dakota Department of Health (NDDoH) investigated the feasibility of using syndromic surveillance (SyS) data to identify health care visits due to electronic cigarette (e-cigarette) use. E-cigarettes have been associated with injuries and fatalities in all age groups, including young children attracted to the colorful liquid nicotine carriage packaging [1]. Previously, poison control data was the only resource available to the NDDoH for e-cigarette adverse outcomes surveillance.

Objective

August 26, 2017

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

Evaluating the BioSense Syndrome for Heat-Related Illness in Maricopa County, Arizona

Monitoring heat-related illness (HRI) is a public health priority in Maricopa County, Arizona. Since 2006, Maricopa County Department of Public Health has utilized data from hospital discharges, medical examiner preliminary reports, and death certificates to quantify heat-related morbidity and mortality, but these surveillance methods take time. Identifying HRI more quickly would improve situational awareness and allow public health officials to launch a more immediate response to extreme heat events.

August 31, 2017

Sensitivity and Specificity of the Fever Syndromes in BioSense and ESSENCE

Syndromic surveillance refers to the monitoring of disease related events, sets of clinical features (i.e. syndromes), or other indicators in a population. Tennessee obtains emergency department data for syndromic surveillance in standardized HL7 format following the field and value set standards published by the Public Health Information Network. Messages contain information previously unavailable to syndromic surveillance systems, including quantitative values such as recorded temperature.

September 08, 2017

Towards Self Validation: Progress and Roadmap for Automating the Validation of BioSense Partner Facilities

One of the greatest hurdles for BioSense Onboarding is the process of validating data received to ensure it contains Data Elements of Interest (DEOI) needed for syndromic surveillance. Efforts to automate this process are critical to meet existing and future demands for facility onboarding requests as well as provide a foundation for data quality assurance efforts. By automating the validation process, BioSense hopes to:

1. Reduce costs associated with the iterative validation process.

2. Improve BioSense response times for assistance with onboarding.

September 19, 2017

Update on the CDC National Syndromic Surveillance Program

The Public Health Security and Bioterrorism Preparedness and Response Act of 2002 mandated establishing an integrated national public health surveillance system for early detection and rapid assessment of potential bioterrorism-related illness. In 2003, CDC created and launched the BioSense software program. At that time, CDC’s focus was on rapidly developing and implementing Web-based software to collect hospital emergency department data for analysis to detect and monitor syndromes of public health importance.

September 20, 2017

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