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Meaningful Use

Description

A health information interchange architecture (HIIA) defines the attributes of a data sharing relationship between two parties. In the context of electronic syndromic surveillance (ESS), this refers to the standards, tools, and means to securely transport an ESS message from a sender (typically an Electronic Health Record, or EHR, system from a healthcare provider) to a recipient (typically a public health agency). The HIIA must support the set of business processes defined for ESS in the 2011 ISDS Final Recommendation: Core Processes and EHR Requirements for Public Health Syndromic Surveillance Report 1 and function with the available infrastructures both within public health and the larger healthcare system.

Objective

In support of national efforts to modernize and enhance health information system interoperability for public health purposes, this report seeks to clarify electronic health information interchange requirements for public health syndromic surveillance by providing: • An assessment of various health information interchange architectures for their ability to meet syndromic surveillance business requirements (See Appendix); • A comparison of potential data transport mechanisms; and • Recommendations for data transport to support Meaningful Use implementation

Status
Active
Featured Resource
no
Member Access Level
Public
File
View the Recommendation here
Author
ISDS
Primary Topic Areas
Meaningful Use
Tags
Electronic Health Record (EHR)
Meaningful Use
Standard
Syndromic Surveillance
Original Publication Year
2012
Event/Publication Date
Submitted by uysz on

Our final Meaningful Use Dialogue will provide insight into New York City’s use of ambulatory EHR records. Steve Di Lonardo and Dr. Winfred Wu plan to discuss the potential benefits, limitations and challenges of extracting data from ambulatory settings. In the process of doing so they will explain the impact and variability of workflows on data types and quality. This discussion serves to emphasize the potential that utilizing ambulatory data may have in complementing other data sources.

Presenters

Details about the ONC 2015 Edition certification criteria for Syndromic Surveillance and the related NIST Test Suite were explained previously. We now provide an overview and key information regarding updates to the Test Suite and how it is designed to be used.

Objective

The NIST Syndromic Surveillance Test Suite for 2015 Edition ONC certification testing was published in February 2016. Key information related to the purpose, development, and use of this conformance test tool is provided via snapshots on a poster.

Submitted by teresa.hamby@d… on

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 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
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