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The NEDSS Base System (NBS) is a web-based, standards- driven, integrated disease surveillance system launched in 2001 and is currently in use in twenty-two public health jurisdictions. Over the past fifteen years, the NBS has grown into a highly functional, modern application that supports: case management, electronic data exchange, metadata-driven data collection, workflow decision support, and a host of other functionalities, all of which are defined and designed through a community-based approach. 

Objective

The NEDSS Base System (NBS) is designed and developed using input from CDC programs, public health standards organizations, as well as its expansive user community. This community-based approach to development of an integrated surveillance system is described.

 

Submitted by Magou on

A variety of government reports have cited challenges in coordinating national biosurveillance efforts at strategic and tactical levels. The General Accountability Office (GAO), an independent nonpartisan agency that investigates how the federal government funding and performs analysis at the request of congressional committees or by public mandate, has published 64 reports on biosurveillance since 2005. The aim of this project is to better characterize these issues by collecting and analyzing a sample of publicly documented biosurveillance systems, and making our data and results available for the public health community to review and evaluate. This study openly publishes the data files of information collected (i.e. CSV, XLS), the Python NLP scripts, and a freely available web-based application developed in R Shiny that filters against the 227 biosurveillance systems and activities to promote a more transparent understanding of how public health practitioners conduct surveillance activities.

Objective

The objective of this project is to advance the science of biosurveillance by providing a user curated cataloging system, to be used across health department and other users, that advances daily surveillance operations by better characterizing three key issues in available surveillance systems: duplication in biosurveillance activities; differing perspectives and analyses of the same data; and inadequate information sharing.

Submitted by uysz on

There were several stand-alone vector surveillance applications being used by the New York State Department of Health (NYSDOH) to support the reporting of mosquito, bird, and mammal surveillance and infection information implemented in early 2000s in response to West Nile virus. In subsequent years, the Electronic Clinical Laboratory Reporting System (ECLRS) and the Communicable Disease Electronic Surveillance System (CDESS) were developed and integrated to be used for surveillance and investigations of human infectious diseases and management of outbreaks.

An integrated vector surveillance system project was proposed to address the migration of the stand-alone vector surveillance applications into a streamlined, consolidated solution to support operational, management, and technical needs by using the national standards with the existing resources and technical environment.

Objective

To develop a mosquito surveillance module to collect mosquito information testing for West Nile, East Equine Encephalitis (EEE) and Zika viruses using national standards. To provide a common set of data for local health departments (LHDs) and state users to report and share information. To monitor the type of mosquito species that carry diseases.

Submitted by uysz on

This document lists conformance testing issues and associated policies derived by NIST, in collaboration with the CDC, based on a review of the HL7 Version 2.5.1 PHIN Messaging Guide for Syndromic Surveillance: Emergency Department, Urgent Care, Inpatient and Ambulatory Care Settings, Release 2.0, April 21, 2015, and Erratum to the CDC PHIN 2.0 Implementation Guide, August 20, 2015. The policies listed in this document are implemented in the NIST syndromic surveillance conformance test suite. 

Submitted by elamb on

This addendum consolidates the Centers for Disease Control and Prevention’s (CDC’s) PHIN Messaging Guide for Syndromic Surveillance: Emergency Department, Urgent Care, Inpatient and Ambulatory Care Settings (Release 2.0) (PHIN MG) information and clarifies existing conformance requirements. Conformance statements and conditional predicates that clarify message requirements are presented below. Value set requirements, general clarifications, and PHIN MG errata are also provided in this addendum. 

Submitted by elamb on

This document represents the collaborative effort of the International Society for Disease Surveillance (ISDS), the Centers for Disease Control and Prevention (CDC), and National Institute of Standards and Technology (NIST) to specify a national electronic messaging standard that enables disparate healthcare applications to submit or transmit administrative and clinical data for public health surveillance and response.

This Guide provides:

Submitted by elamb on

This addendum consolidates the Centers for Disease Control and Prevention’s (CDC’s) PHIN Messaging Guide for Syndromic Surveillance: Emergency Department and Urgent Care Data, Release 1.1 (PHIN MG) information and clarifies existing conformance requirements. Conformance statements and conditional predicates that clarify message requirements are presented below. Value set requirements, general clarifications, and PHIN MG errata are also provided in this addendum.

Submitted by ctong on

This document represents the collaborative effort of the International Society for Disease Surveillance (ISDS), the Centers for Disease Control and Prevention (CDC), and National Institute of Standards and Technology (NIST) to specify a national electronic messaging standard that enables disparate healthcare applications to submit or transmit administrative and clinical data for public health surveillance and response. Recommendations made by expert committees convened by ISDS and CDC serve as the basis for this guide.

Submitted by ctong on

This PHIN Messaging Guide for Syndromic Surveillance contains the necessary specifications for data exchange from healthcare to public health for elements that are core to Syndromic Surveillance practice. Note that this guide does not contain specifications for the collective data elements needed to support current practice of Syndromic Surveillance across all public health jurisdictions.

Submitted by elamb on
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