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Lipskiy Nikolay

The HL7 messaging standard, version two that was implemented by most vendors and public health agencies did not resolve all systems’ interoperability problems. Design and tool implementation for automated machine-testing messages may resolve many of those problems. This task also has critical importance for rapid deployment of electronic public health systems.

 

Objective

This document describes the Public Health Information Network efforts on the development of the messaging quality framework, a flexible framework of services and utilities designed to assist public health partners with preparing and communicating quality, standard electronic messages.

 

Referenced File
Submitted by hparton on

The U.S. Department of Homeland Security National Incident Management System (NIMS) establishes a common framework and common terminology that allows diverse incident management and support organizations to work together across a wide variety of functions and hazard scenarios1. Using common terminology helps avoid confusion and enhances interoperability, particularly in fast-moving public health (PH) emergency responses. In addition, common terminology allows diverse incident management and support organizations to work together across a wide variety of functions and scenarios1. LOINC is one of a suite of designated standards for the electronic exchange of public health and clinical information. Implementation of LOINC facilitates improvement of semantic interoperability, including unified terminology2. More than 68,100 registered users from 172 countries use LOINC to move interoperable data seamlessly between systems3. The CDC Division of Emergency Operations (DEO) leads development of standardized PH emergency preparedness and response terminology to improve effective and interoperable communications between national and international partners. Realizing the scale of LOINC support and implementation across the global public health arena, CDC DEO collaborates with LOINC to further enhance and harmonize the current PH emergency response terminology and to attain critical PH emergency management and preparedness and response requirements.

Objective: The purpose of this project is to demonstrate the progress in development of a standardized public health (PH) emergency preparedness and response data ontology (terminology) through collaboration between the Centers for Disease Control and Prevention (CDC), Division of Emergency Operations (DEO), and the Logical Observation Identifiers Names and Codes (LOINC) system.

Submitted by elamb on

The American Recovery and Reinvestment Act (ARRA) brought significant incentives to providers for implementing certified EHR technologies. It specifically requires utilization of certified electronic health records (EHRs) for electronic exchange of health information and for submission of clinical quality and other measures to the federal agencies. The most important barriers in the ELR implementation are a lack of funding at health departments, shortage of staff at health departments, and the variable content and format of ELR messages. The MU is a new factor that may foster ELR technologies through implementation incentives and through standardization of EHRs.

Objective

The objective of this presentation is to evaluate the potential impact of Stage 1 meaningful use (MU) health IT certification (MUC), on development of national electronic laboratory reporting (ELR) capacities.

Referenced File
Submitted by teresa.hamby@d… on

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. As a result, this WG recommended to participants and leadership of the ONC S&I that a new initiative, the ONC S&I PHR activity should be established. In July 2011 a team of public health practitioners, (co-authors of this presentation) started working on a charter and use cases for the group.

Objective

The objective of this presentation is to evaluate progress on harmonization of public health electronic data exchange through the Public Health Reporting (PH-R) Standards and Interoperability (S&I) Framework activity.

Referenced File
Submitted by elamb on

Biosurveillance systems typically receive free- text chief complaint and coded diagnosis data, however this data has limited specificity for notifiable disease surveillance. The Biosense System receives chief complaint and/or diagnosis data from over 360 hospitals and laboratory results from 24 hospitals in 7 states using the Public Health Information Network Messaging System (PHINMS) and HL7 standards. BioSense also receives final diagnosis from Veterans’ Affairs and Department of Defense outpatient clinics, but these clinics do not currently report laboratory findings. Chief complaints and diagnoses are assigned, as appropriate, to 11 syndromes (e.g., Gastrointestinal [GI]) (1) and to 78 more granular categories termed sub-syndromes (e.g., abdominal pain, nausea and vomiting, diarrhea) Surveillance for Salmonella infection is important since this agent is both a commonly- reported notifiable disease and a Category B bioterrorist agent.

Objective

To describe visits reported from BioSense hospitals with non-typhoidal Salmonella infections.

Referenced File
Submitted by elamb on

The S&I Framework is an Office of National Coordinator (ONC) initiative designed to support individual working groups who focus on a specific interoperability challenge. One of these working groups within the S&I Framework is the PHRI, which is using the S&I Framework as a platform for a community-led project focused on simplifying public health reporting and ensuring EHR interoperability with public health information systems. PHRI hopes to create a new public health reporting objective for Meaningful Use Stage 3 that is broader than the current program-specific objectives and will lay the ground work for all public health reporting in the future. To date, the initiative received over 30 descriptions of different types of public health reporting that were then grouped into 5 domain categories. Each domain category was decomposed into component elements and commonalities were identified. The PHRI is now working to reconstruct a single model of public health reporting through a consensus process that will soon lead to a pilot demonstration of the most ready reporting types. This panel will outline progress, challenges, and next steps of the initiative as well as describe how the initiative may affect a standard language for biosurveillance reporting.

Objective

The objective of this panel is to inform the ISDS community of the progress made in the Standards & Interoperability (S&I) Framework Public Health Reporting Initiative (PHRI). Also, it will provide some context of how the initiative will likely affect biosurveillance reporting in Meaningful Use Stage 3 and future harmonization of data standards requirements for public health reporting

Submitted by ynwang@ufl.edu on

Effective prevention, detection, and rapid response to PH emergencies rely on sufficient and timely delivered information. PH EOC data flows are based on critical information requirements, addressing needs of EOC staff for timely delivered analytical products that provide situational awareness, event-specific data, event investigation tools, resource management etc1. The ability of PH EOC systems to automatically and accurately interpret meaning of the exchanged data depends on a level of semantic data interoperability and utilization of a common information exchange reference model (CIERF) that conforms to established data standards. PH EOC data interoperability requires mutual development and close collaboration with partners to develop a PH EPR CIERF, common terminology and standardized vocabulary.

Objective:

The purpose of this project is to demonstrate progress in developing functional data models and semantic definitions (content standards) for data elements and value sets comprising information categories supporting PH Emergency Preparedness and Response. (EPR) The objective is to explain the concepts and methods used to define core PH Emergency Management and Preparedness and Response functions, Information Exchange Requirements (IERs), data elements, and value sets to create a PH Emergency Operations Center (EOC) Minimum Data Set Specification. The primary focus of this presentation is to describe the value of semantic data interoperability and provide operational examples of the value and return-on-investment gained through building semantically interoperable data exchange through content standardization.

Submitted by elamb on

Effective PH information exchange depends on standardized data to ensure system-to-system interoperability and is a critical component of preparedness and response. The Common Ground Preparedness Framework (CGPF) was developed through a three-year collaboration of eight state and local health departments to define and categorize PH business processes related to preparedness to include prepare, manage, monitor, investigate, intervene and recover. The CGPF may be used to prioritize standardization activities. Monitoring, which is the crucial CGPF category for the entire PH preparedness business processes includes assessing population trends, and conducting surveillance. The author used the CCPF monitoring process as a basis for the comparison to determine those standards that aligned with these processes and identified any gaps in the standards. This assessment may help in better understanding content standardization for preparedness and areas for improvement.

Objective

The objective of this presentation is to evaluate progress in developing semantically interoperable content for PH systems that monitor PH threats. Also, it highlights potential solutions for improve standardization of those data exchanges.

Submitted by rmathes on

Social media messages are often short, informal, and ungrammatical. They frequently involve text, images, audio, or video, which makes the identification of useful information difficult. This complexity reduces the efficacy of standard information extraction techniques1. However, recent advances in NLP, especially methods tailored to social media2, have shown promise in improving real-time PH surveillance and emergency response3. Surveillance data derived from semantic analysis combined with traditional surveillance processes has potential to improve event detection and characterization. The CDC Office of Public Health Preparedness and Response (OPHPR), Division of Emergency Operations (DEO) and the Georgia Tech Research Institute have collaborated on the advancement of PH SA through development of new approaches in using semantic analysis for social media.

Objective

The objective of this analysis is to leverage recent advances in natural language processing (NLP) to develop new methods and system capabilities for processing social media (Twitter messages) for situational awareness (SA), syndromic surveillance (SS), and event-based surveillance (EBS). Specifically, we evaluated the use of human-in-the-loop semantic analysis to assist public health (PH) SA stakeholders in SS and EBS using massive amounts of publicly available social media data.

Submitted by Magou on
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