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Meaningful Use

Description

The Syndromic Surveillance Consortium of Southeast Texas (SSCSeT) consists of 13 stakeholders who represent 19 counties or jurisdictions in the Texas Gulf Coast region and receives health data from over 100 providers. The Houston Health Department (HHD) maintains and operates the syndromic surveillance system for the Gulf Coast region since 2007. In preparation for Meaningful Use (MU) the HHD has adapted and implemented guidance and recommendations from Centers for Disease Control and Prevention, Office of National Coordinator for Health Information Technology and others. HHDs goal is to make it possible for providers meet MU specification by facilitating the transmission of health related data for syndromic surveillance. The timing of the transition into MU overlaps with the change in syndromic surveillance systems. 

Presenters

Eunice R. Santos, Wesley McNeely, Biru Yang and Raouf R. Arafat - Office of Surveillance and Public Health Preparedness, Houston Health Department, Houston, TX, USA 

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 annotated bibliography summarizes close to 50 articles on syndromic surveillance using EHR data from hospital and ambulatory settings. The bibliography is a valuable resource for both practitioners and researchers as they continue to assess the feasibility and utility of using new types of clinical data for syndromic surveillance analyses. As Meaningful Use progresses it is increasingly important to understand both the potential and the limitations of using ambulatory and hospital data for these purposes.

Submitted by ctong on