Harnessing Data Science Through Healthcare IT Interoperability

The ability to harness data science for use in improving population health and public health surveillance begins with the application of interoperability standards to electronic messaging for data exchange between HIT used by public health authorities (PHAs) and the providers who submit patient data to them. When electronic transmissions between these entities are not based on interoperability standards, the patient data that are exchanged may be incomplete, inaccurate, invalid, and/or untimely.

June 18, 2019

Improvement of Epidemiology Business Processes through the Evolution of Biosurveillance

In the last decade, the scope of public health (PH) surveillance has grown, and biosurveillance capacity has expanded in Duval County. In 2004, the Duval County Health Department (DCHD) implemented a standalone syndromic surveillance (SS) system which required the manual classification and entry of emergency department (ED) chief complaints by hospital staff. At that time, this system, in conjunction with other external systems (e.g. CDC ILInet, FluStar, NRDM) were used to conduct surveillance for health events.

May 02, 2019

A systematic approach to building and sustaining a regional and local biosurveillance community of practice

Although the advent of the ONCs "meaningful use" criteria has added significant new incentives for healthcare organizations to provide the necessary data for implementing syndromic surveillance, incentives alone are not sufficient to sustain a robust community of practice that engages public health and healthcare practitioners working together to fully achieve meaningful use objectives. The process for building a successful community of practice around syndromic surveillance is primarily application-agnostic.

May 02, 2019

Rapid ad-hoc cross-jurisdictional sharing of syndrome data using Distribute technology

Cross-jurisdictional sharing of public health syndrome data is useful for many reasons, among them to provide a larger regional or national view of activity and to determine if unusual activity observed in one jurisdiction is atypical. Considerable barriers to sharing of public health data exist, including maintaining control of potentially sensitive data and having informatics systems available to take and view data.

May 02, 2019

S&I Public Health Reporting Initiative- Building the Future of Harmonized Biosurveillance Systems

The American Recovery and Reinvestment Act (ARRA) initiated a broad range of national implementation activities. In order to support the critical activities of meaningful use (MU), ONC established the S&I Framework. In the beginning of 2011 the Laboratory Reporting Interface (LRI) Public Health (PH) Work Group (WG) was formed as a subworking group of the S&I Framework LRI activity. This LRI PH WG, besides providing PH required data elements to the LRI, assessed a need for assessment of the broad landscape of public health laboratory data exchange transactions.

May 02, 2019

Identifying water contamination from syndromic surveillance signals

The EPA Water Security initiative contamination warning system detection strategy involves the use of multiple monitoring and surveillance components for timely detection of drinking water contamination in the distribution system. The public health surveillance (PHS) component of the contamination warning system involves the analysis of health-related data to identify disease events that may stem from drinking water contamination.

June 26, 2019

The evaluation of influenza surveillance data elements for the health information exchange minimum data set

The American Health Information Community Harmonized Use Case for the Biosurveillance minimum data set (MDS) was implemented to establish data exchange between regional health information organizations (RHIOs) and the New York State Department of Health (NYSDOH) for accelerating situational awareness through the Health Information Exchange (HIE) Project. However, the completeness, timeliness of the reporting and quality of data elements in the MDS through RHIOs are still unknown and need further validation before we can utilize them for NYSDOH public health surveillance.

June 27, 2019

Design and development of a standards-based model to publish public health reporting criteria

State laws mandate clinicians and laboratories to report occurrences of reportable diseases to public health entities. For this purpose, a set of case-reporting specifications are published and maintained by public health departments. There are several problems with the existing case-reporting specifications: (1) they are described on individual state websites and posters and not structured or executable; (2) the specifications are often misleading representing case classification rather than case reporting criteria; (3) they vary across jurisdictions and change over time; and (4) reporting

June 14, 2019

Developing an application ontology for mining clinical reports: the extended syndromic surveillance ontology

Ontologies representing knowledge from the public health and surveillance domains currently exist. However, they focus on infectious diseases (infectious disease ontology), reportable diseases (PHSkbFretired) and internet surveillance from news text (BioCaster ontology), or are commercial products (OntoReason public health ontology). From the perspective of biosurveillance text mining, these ontologies do not adequately represent the kind of knowledge found in clinical reports.

June 14, 2019

Enhance public health data capacity through statewide health information exchange of immunization records

Utah Statewide Immunization Information System (USIIS) is the state immunization registry. It is connected to about 700 organizations, including 100% public health clinics, 60% of private providers, many schools, daycares, pharmacies, and Indian Health Services. Data exchange methods range from web data entry, batch file transfer, proprietary or HL7 data interfaces, and real-time exchange with Intermountain

June 17, 2019

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Contact Us

National Syndromic
Surveillance Program

Email:nssp@cdc.gov

The National Syndromic Surveillance Program (NSSP) is a collaboration among states and public health jurisdictions that contribute data to the BioSense Platform, public health practitioners who use local syndromic surveillance systems, Center for Disease Control and Prevention programs, other federal agencies, partner organizations, hospitals, healthcare professionals, and academic institutions.

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