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This "Un-Meeting" will bring together researchers, clinicians, policy makers, public health professionals, healthcare innovators, opinion leaders and other interested groups to discuss and develop new, innovative and effective ideas to address the opioid crisis through translational science. The overall intent of this Un-Meeting is to foster new, collaborative teams/networks and generate ideas to
The University of Florida is pleased to host an Un-Meeting on Rural Health and Health Equity Monday, April 8, 2019 in Gainesville, Florida. This event will focus on catalyzing new collaborations to bridge the translational science and agricultural extension sectors to improve rural health and achieve health equity, hosted by the UF Clinical and Translational Science Institute and the UF Institute
This Un-Meeting will explore lifespan and life course research tools and strategies to advance understanding of how the life course may influence outcomes of research participants and how this may be considered in observational and interventional study design. Monday, March 2, 2020 Chicago, Illinois A reception on Sunday, March 1 will precede the Un-Meeting. View event website Un-Meeting on
This NCATS “rapid-response” Un-Meeting will encourage discussions around the changes encountered in the area of clinical and translational research resulting from the COVID pandemic. Other potential topics include Identifying clinical research trial design opportunities as a unified network in the post-COVID clinical era? What does training look like? What do remote trials look like? What is the
Telehealth plays an important role in the Clinical Implementation and Public Health stages of the Translational Science Spectrum. Understanding the barriers and limitations of telehealth will inform development of new technology and models that expand access and improve the quality of care. The impact of this un-meeting is to use the results to make immediate changes to how telehealth visits are conducted for clinical care, to develop new strategies to removing barriers to telehealth in underserved populations and to advance multidisciplinary initiatives regarding research with telehealth.
May 27, 11:00 AM - 3:00 PM Eastern Time. This NCATS “Rapid-Response” Un-Meeting will encourage discussions to identify activities that can be initiated and sustained in the interpandemic period to include when a significant public health emergency arises in the future, these community based environments can seamlessly participate in joint projects to address the threat. Other potential topics include identifying opportunities to build models of outreach to better include community hospitals for recruitment and enrollment into academic clinical trials, identifying ways to increase participant
The Center for Leading Innovation and Collaboration (CLIC), the coordinating center for the NCATS CTSA Program, is hosting this Un-Meeting. This is an unconventional meeting, which lacks the rules and structure of a traditional conference, focuses on bringing together researchers, clinicians, policymakers, public health professionals, healthcare innovators, and opinion leaders to discuss and develop innovative and effective ideas regarding climate change in human health.
The link between C2H2 and translational science is not intuitive for all. Working backward from climate-related disease to
The Genomic Information Commons (GIC) is an NCATS/NIH funded continuously updating, queryable, federated system enabling and promoting clinical and genomic research across eight pediatric hospitals. A GIC goal is to harmonize IT, regulatory and workflow components across sites for sharing genomic and phenotypic data (including EHR data on millions of patients), as well as biospecimen metadata on broadly consented cohorts.
At this potentially transformative moment, GIC sites seek innovative and collaborative ideas from across the CTSA Consortium
NCATS Rapid Response Un-Meeting
Moving scientific discoveries into the “real world” effectively, efficiently, and safely are core principles of translational science. With the advent of big data analytics and data derived from multiple sources, it has become increasingly clear that utilizing data from real-world contexts opens another key layer of the translational science process.