Our goal was to assess the impact of sentinel sample size and criteria for a signal on performance of daily prospective space-time permutation detection by comparing results in varying size random samples from a large health plan to results found in the full membership.
The objective of this project was to develop an efficient method to map Logical Observation Identifier Names and Codes (LOINC) to notifiable conditions to accommodate future changes in standard laboratory test codes.
This paper describes the synthesis of benefits and problems that French Armed Forces had to take into account for the implementation of syndromic surveillance within their epidemiological surveillance strategy.
MUse will make EHR data increasingly available for public health surveillance. For Stage 2, the Centers for Medicare & Medicaid Services (CMS) regulations will require hospitals and offer an option for eligible professionals to provide electronic syndromic surveillance data to public health. Together, these data can strengthen public health surveillance capabilities and population health outcomes (Figure 1). To facilitate the adoption and effective use of these data to advance population health, public health priorities and system capabilities must shape standards for data exchange. Input from all stakeholders is critical to ensure the feasibility, practicality, and, hence, adoption of any recommendations and data use guidelines.
Objective
To develop national Stage 2 Meaningful Use (MUse) recommendations for syndromic surveillance using hospital inpatient and ambulatory clinical care electronic health record (EHR) data
HL7 2.5.1 messaging for Emergency, Inpatient, Non-urgent Ambulatory, and Urgent Care Settings
Version 1.6
The U.S. Department of Health and Human Services administers federal incentive programs for eligible hospitals (EHs), critical access hospitals (CAHs), eligible providers (EPs), and eligible clinicians (ECs) that have adopted and use certified electronic health record technology (CEHRT). The transmission of syndromic surveillance messages from health care providers to a public health agency using CEHRT is one of the measures available to incentive program participants.
Syndromic surveillance seeks to systematically leverage health-related data in near "real-time" to understand the health of communities at the local, state, and federal level. The product of this process provides statistical insight on disease trends and healthcare utilization behaviors at the community level which can be used to support essential surveillance functions in governmental public health authorities (PHAs). Syndromic surveillance is particularly useful in supporting public health situational awareness, emergency response management, and outbreak recognition and characterization. Patient encounter data from healthcare settings are a critical inputs for syndromic surveillance; such clinical data provided by hospitals and urgent care centers to PHAs are authorized applicable local and state laws. The capture, transformation, and messaging of these data in a standardized and systematic manner is critical to this entire enterprise. In August 2015, a collaborative effort was initiated between the CDC, ISDS, the Syndromic Surveillance Community, ONC and NIST to update the national electronic messaging standard which enables disparate healthcare systems to capture, structure, and transmit administrative and clinical data for public health surveillance and response. The PHIN Messaging Guide for Syndromic Surveillance -Release 2.0 (2015) provided an HL7 messaging and content reference standard for national, syndromic surveillance electronic health record technology certification as well as a basis for local and state syndromic surveillance messaging implementation guides. This standard was further amended with the release of the PHIN Messaging Guide for Syndromic Surveillance - Release 2.0, Erratum (2015) and the HL7 Version 2.5.1 PHIN Messaging Guide for Syndromic Surveillance- Release 2.0, NIST Clarifications and Validation Guidelines, Version 1.5 (2016). ISDS is now engaged in a process, supported by a CDC Cooperative Agreement, to formally revise the existing guide and generate an HL7 V 2.5.1 Implementation Guide (IG) for Syndromic Surveillance v2.5 for HL7 balloting in 2018. This roundtable will provide a forum to present and discuss the HL7 Balloting process and the outstanding activities in which the Syndromic Surveillance community must participate during the coming months for this activity to be successful.
Objective:
To provide a forum to engage key stakeholders to discuss the process for updating and revising the Implementation Guide (IG) for Syndromic Surveillance (formerly the PHIN Message Guide for Syndromic Surveillance) and underscore the critically of community and stakeholder involvement as the Implementation Guide is vetted through the formal Health Level Seven (Hl7) balloting process in 2018.
In 2011, the CDC released the PHIN Implementation Guide (IG) for Syndromic Surveillance v.1 under the Public Health Information Network. In the intervening years, new technological advancements, EHR capabilities as well as epidemiological and Meaningful Use requirements have led to the periodic update and revision of the IG through informal and semi-structured solicitation and collection of comments from across public health, governmental, academic, and EHR vendor stakeholders. Following the IG v.2.0 release in 2015, CDC initiated a multi-year endeavor to update the IG in a more systematic manner and released further updates via an Erratum and a technical document developed with NIST to clarify validation policies and testing parameters. These documents were consolidated into the Message Guide v.2.1 release and used to inform the development of the NIST Syndromic Surveillance Test Suite (http://hl7v2-ss-r2-testing.nist.gov/ss-r2/#/home), Validation Test Cases, and develop a new rules-based IG built using NISTâs Implementation Guide Authoring and Management Tool (IGAMT). As part of a Cooperative Agreement initiated in 2017, CDC and ISDS built upon prior activities and renew efforts in engaging the Syndromic Surveillance Community of Practice for comment on the IG with the goal of having the final product to become an "HL7 V 2.5.1 Implementation Guide for Syndromic Surveillance Standard for Trial Use" following a formal HL7 balloting process in 2018.
Objective:
To describe the process to update the Implementation Guide (IG) for Syndromic Surveillance via community and stakeholder engagement and highlight significant modifications as the IG is vetted through the formal HL7 balloting process.
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.