Opioid-related ED encounters in New Hampshire increased substantially from 2011 to 2015. Data from New Hampshire's ED syndromic surveillance system provided timely situational awareness to public health partners to support the overall response to the opioid epidemic.
Introduction: We document a funded effort to bridge the gap between constrained scientific challenges of public health surveillance and methodologies from academia and industry. Component tasks are the collection of epidemiologists’ use case problems, multidisciplinary consultancies to refine them, and dissemination of problem requirements and shareable datasets. We describe an initial use case and consultancy as a concrete example and challenge to developers.Materials and Methods: Supported by the Defense Threat Reduction Agency Biosurveillance Ecosystem project, the International Society for Disease Surveillance formed an advisory group to select tractable use case problems and convene inter-disciplinary consultancies to translate analytic needs into well-defined problems and to promote development of applicable solution methods. The initial consultancy’s focus was a problem originated by the North Carolina Department of Health and its NC DETECT surveillance system: Derive a method for detection of patient record clusters worthy of follow-up based on free-text chief complaints and without syndromic classification.Results: Direct communication between public health problem owners and analytic developers was informative to both groups and constructive for the solution development process. The consultancy achieved refinement of the asyndromic detection challenge and of solution requirements. Participants summarized and evaluated solution approaches and discussed dissemination and collaboration strategies.Practice Implications: A solution meeting the specification of the use case described above could improve human monitoring efficiency with expedited warning of events requiring follow-up, including otherwise overlooked events with no syndromic indicators. This approach can remove obstacles to collaboration with efficient, minimal data-sharing and without costly overhead.
Using a real-time syndromic surveillance system to track heat-related illnesses during a heat wave Shandy Dearth, Kenneth Mulanya and Julia Butwin 40. Norovirus disease surveillance using Google search data
ObjectiveThis panel will:• Discuss the importance of identifying and developing success stories • Highlight successes from state and local health departments to show how syndromic surveillance activities enhance situational awareness and address public health concerns • Encourage discussion on how to further efforts for developing and disseminating success stories
Objective: Provide justification for the collection and reporting of urgent care (UC) data for public health syndromic surveillance.Introduction: While UC does not have a standard definition, it can generally be described as the delivery of ambulatory medical care outside of a hospital emergency department (ED) on a walk-in basis, without a scheduled appointment, available at extended hours, and providing an array of services comparable to typical primary care offices.1 UC facilities represent a growing sector of the United States healthcare industry, doubling in size between 2008 and 2011.1 The Urgent Care Association of America (UCAOA) estimates that UC facilities had 160 million patient encounters in 2013.2 This compares to 130.4 million patient encounters in EDs in 2013, as reported by the National Hospital Ambulatory Medical Care Survey.3 Public Health (PH) is actively working to broaden syndromic surveillance to include urgent care data as more individuals use these services.4 PH needs justification when reaching out to healthcare partners to get buy-in for collecting and reporting UC data.Description: The International Society for Disease Surveillance (ISDS) Community of Practice (CoP) platform was used to host a webinar introducing the topic of urgent care participation in syndromic surveillance. This webinar provided a valuable opportunity to obtain insight from jurisdictions pursuing and using UC data. A workgroup was formed to create documentation justifying the collection and reporting of UC data. Using this forum, the workgroup brought together partners from various jurisdictions working with UC data to participate in a literature review of SCOPUS, PubMed, and the Online Journal of Public Health Informatics publications and to share their experiences. These two main sources of information – previous literature and jurisdictional experience – were combined and condensed to provide tangible justifications for the collection and use of UC data.While the workgroup found little in the literature to justify the collection of UC data as a part of syndromic surveillance, the shared experiences of the CoP jurisdictions working to onboard UC facilities provided valuable insight. From this collaborative response, three main reasons to collect UC data were identified.1) Healthcare reform is directing patients away from EDs and toward UC facilities. UC represents reduced cost and more efficient patient processing, thus easing the burden on both patient and healthcare system (according to a 2016 American Academy of Pediatrics article entitled “Urgent Care and Emergency Department Visits in the Pediatric Medicaid Population”). If syndromic surveillance does not adapt to include UC data, the potential exists to lose significant patient populations, which may lead to decreased situational awareness.2) According to the Centers for Medicare and Medicaid Services Stage 3 guidance, Meaningful Use (MU) will change the relationship between eligible professionals (EPs) and syndromic surveillance by restricting EPs to those who practice in a UC facility. This approach to EP participation simplifies the syndromic surveillance MU objective, thereby making it easier for PH jurisdictions to onboard UC facilities.3) Patients with certain conditions that are acute but non-emergent may report more frequently to an UC facility than to an ED. Broadening syndromic surveillance to include UC facilities may increase reporting of “rare event” encounters, which will lower the relative standard error for statistical calculation. Surveillance efforts for conditions like influenza-like illness and Zika virus may improve substantially with a larger data pool.How the Moderator Intends to Engage the Audience in Discussions on the Topic: The moderator will begin discussion with a brief presentation from the literature review and jurisdictional experience, highlighting three justifications for collecting and reporting UC data. The audience will be divided into 3 groups to discuss and validate 3 additional topics: creation of syndromic surveillance talking points to share with UC facility management, creation of jurisdictional UC facility listings, and UC onboarding best practices. Feedback from the 3 groups will be shared with the whole group, followed by a brief summary of the discussion and recommendations for next steps.
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