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This talk will present the pillars and rationale of Open Big Neuroscience, present the important characteristics of Big Biomedical Data and challenges with sharing sensitive information. The DataSifter technique for novel statistical obfuscation of sensitive will be demonstrated. Some case-studies illustrating applications to Neurodegenerative Disease, Autism Brain Imaging Data Exchange, and
N3C is hosting an Open House to engage CTSA members, newcomers, and the wider translational research community. The event will be kicked off with a one-hour symposium that includes opening remarks from N3C leadership, followed by a PI/Clinician Testimonial with Dr. David Ellison of OCTRI, an N3C Tutorial on how to get involved, a demonstration of the N3C Data Enclave, and flash talks from the
The N3C is the largest collection of electronic health record (EHR) data on COVID-19 patients in the world and is anchored on the OHDSI/OMOP model. This webinar will feature presentations to increase N3C awareness and engagement of nurses, and to identify opportunities and roles relevant to nurse scientists. There will also be a panel discussion involving prominent nurse scientists to address
Background: America’s grim COVID-19 statistics tell a story of human suffering and loss on an epic scale. But there is more to that story than scary numbers—a hopeful plot twist in which patients’ health data are transformed into knowledge that guides our way out of the crisis. The National COVID Cohort Collaborative (N3C) is a new effort to collect, harmonize, and collaboratively analyze
From the early days of the COVID-19 pandemic, epidemiologist Melissa Haendel knew that the United States was going to have a data problem. There didn’t seem to be a national strategy to control the virus, and cases were springing up in sporadic hotspots around the country. With such a patchwork response, nationwide information about the people who got sick would probably be hard to come by. Other
As the pandemic wears on, doctors are learning more about how to better care for patients with COVID-19, but there is still so much to learn. Moreover, the long-term effects of the disease are unknown. So the NIH and its National Center for Advancing Translational Sciences (NCATS) have launched a National COVID Cohort Collaborative (N3C) to collect electronic health record (EHR) data from partners
Electronic health records are painting a detailed picture of COVID-19 testing, infections, and hospitalizations. This statewide effort—which includes CTSI and several healthcare providers—could help identify disparities and inform interventions to improve outcomes for all Minnesotans.
The Office of Data Science Strategy at the National Institutes of Health (NIH) and the National Library of Medicine are hosting a virtual workshop. NIH is committed to advancing research and its data science efforts to end the COVID-19 pandemic. As part of the larger NIH COVID-19 response, leadership is designing a COVID-19 Clinical Data Hub–a loosely federated system, built by researchers for
This free webinar is part of the HL7 HIMSS20 Webinar Series. Healthcare and payer organizations have many reasons to transmit data on large populations of patients, such as moving clinical data into an analytic data warehouse, sharing data between organizations, or submitting data to regulatory agencies. Today, bulk export is often accomplished with proprietary pipelines, and data transfer
Come join a webinar to discuss the sharing of data for biospecimens and their phenotypes. Chris Chute, MD, DrPH & Melissa Haendel, PhD of CD2H will present: • Perspectives from CD2H for cross-CTSA collaboration • Emphasis on sharing tools and data Next generation tools and best practices will be presented by guest speakers: • UPenn: Danielle Mowery, PhD; Marylyn Ritchie, PhD, and Christian
After months of fierce opposition, the electronic health record company Epic said Thursday it is dropping its opposition to a federal rule designed to improve patients’ access to their medical records, removing a potential barrier to its implementation.
The csv,conf brings diverse groups together to discuss data topics, and features stories about data sharing and data analysis from science, journalism, government, and open source. Join the free csv,conf,v5 annual community conference online. Hear interesting ideas for imagining new humanistic and #computational data-related courses from Emily Jacobi and Sisi Wei.
See the outstanding commentary by Ken Mandl and Isaac Kohane. It's time to make healthcare a truly data- and knowledge-driven enterprise. That begins by making sure responsible, scalable, and technology-agnostic data sharing is the norm and not an exception!
The CTSI Translational Imaging Core supports pre-clinical and clinical imaging, which is a particular strength of researchers in the Buffalo Translational Consortium (BTC). Establishing the Imaging Core in 2015, supported by the CTSA, has enabled us to markedly expand our user base, supporting 102 peer-reviewed publications, 71 funded grants and an additional 77 submitted grants. In addition to