Integrating medical examiner data in Utah

The Office of the Medical Examiner (OME) is a statewide system for investigation of sudden and unexpected death in Utah. OME, in the Utah Department of Health (UDOH), certified over 2000 of the 13,920 deaths in Utah in 2008.

June 27, 2019

The United States Department of Veterans Affairs Integrated Operations Center (VA IOC): collaborations for surveillance, analysis, and prediction for infectious disease threat preparedness—pilot review of dengue occurrence

Under leadership of the Secretary of Veterans Affairs (VA), Office of Operations, Security and Preparedness has established the Veterans Affairs Integrated Operations Center, with the goal of enhancing integration and analysis of data, and information from VA’s preparedness partners, both internal and external, for timely decision support.

Objective

June 27, 2019

State Surveillance Data Improves a Clinical Prediction Model for Pertussis

Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous for young infants. Pertussis is difficult to diagnose, especially in its early stages, and definitive test results are not available for several days. Because of temporal and geographic variability of pertussis outbreaks, delay in diagnostic test results and ramifications of incorrect management decisions at the point of care, pertussis represents a prototypical disease where realtime public health surveillance data might inform, guide and improve medical decision making.

July 30, 2018

Automated Information Integration from Heterogeneous Data Sources: A Semantic Web Approach

Integration of information from multiple disparate and heterogeneous sources is a labor and resource intensive task. Heterogeneity can come about in the way data is represented or in the meaning of data in different contexts. Semantic Web technologies have been proposed to address both representational and semantic heterogeneity in distributed and collaborative environments. We introduce an automated semantic information integration platform for public health surveillance using RDF and the Simple Knowledge Organization Standard developed by the Semantic Web community.

 

July 30, 2018

Integrated Syndromic and Virologic Surveillance Systems from Taiwan's Experiences in Facing Global Challenges of Emerging Infectious Diseases

Objective: Emerging and re-emerging infectious diseases (EID/REID) involve large populations at risk and thus they might lead to rapidly increasing cases or case fatality rates. Living in this global village, cross-country or cross-continent spread has occurred more frequently in recent decades, implying that epidemics of any infectious disease can expand from local to national to international if control efforts are not effective.

July 30, 2018

Multi-Agency and Hospital, Syndromic Surveillance System in Montana

In the aftermath of September 11th, 2001, the potential for subsequent bioterrorism attacks and more recently, the increased awareness of the threat of Avian flu and other communicable diseases, has compelled the Montana healthcare community to mobilize its diagnostic resources for detecting the presence of toxins or infectious biologic agents at the earliest possible moment. This state-wide, pilot initiative integrates disparate Emergency Room data, making patients’ symptoms and diagnoses available for biosurveillance and achieves interoperability among Montana’s emergency facilities.

July 30, 2018

Data Integration and Analytics within the National Bio-Surveillance Integration System

This presentation introduces the U.S. Department of Homeland Security (DHS) National Bio-Surveillance Integration System (NBIS) and the analytics functionality within the NBIS that integrates and analyzes structured and unstructured data streams across domains to provide inter-agency analysts with an integrated view of threat scenarios. The integration of Human and Animal incidences of Avian Influenza will be used to demonstrate initial capability.

July 30, 2018

A Community of E-Services for Syndromic Surveillance and Early Warning within the French Forces

Syndromic surveillance for early warning in military context needs a robust, scalable, flexible, ubiquitous, and interoperable surveillance system. A pilot project fulfilling these aims has been conceived as a collaboration of specialized web-services.

July 30, 2018

A Comparison between Syndromic Surveillance 911/EMS and Emergency Department Data

To examine data from 911/Emergency Medical Services (EMS) and determine whether these data provide a useful addition to syndromic surveillance (SS) when used with emergency department (ED) chief complaint (CC) data.

July 30, 2018

Discrete Data from Electronic Medical Records - Next Generation Data Sets for Syndromic Surveillance

Traditionally Emergency Department syndromic surveillance methods have relied on ICD-9 codes and chief complaints. The implementation of electronic medical record keeping has made much more information available than can potentially be used for surveillance. For example, information such as vital signs, review of systems and physical exam data are being stored discreetly. These data have the potential to detect specific diseases or outbreaks in a community earlier that the traditionally used ICD-9 and chief complaint.

 

Objective

July 30, 2018

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NSSP Community of Practice

Email: syndromic@cste.org

 

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