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CTR Seminar Series – Rhode Island HIE and Clinical and Translational Research
Interim President and CEO, Rhode Island Quality Institute
Director, Center for Biomedical Informatics, Brown University
Neil Sarkar, PhD, MLIS, FACMI is the President and Chief Executive Officer of the Rhode Island Quality Institute (RIQI), which serves as Rhode Island’s Regional Health Information Organization. He is also an Associate Professor of Medical Science and Associate Professor of Health Services, Policy & Practice at Brown University. Prior to his current role at RIQI, he was the founding director of the Brown Center for Biomedical Informatics. The underlying hypothesis in Dr. Sarkar’s research is that the integration of unlinked data leads to new information that can be used to inform knowledge about underpinning phenomena in biology and health. Dr. Sarkar’s work has been funded by sources such as the National Science Foundation, the Ellison Medical Foundation, the Medical Library Association, the Centers for Disease Control and Prevention, the US Department of Veterans Affairs, and the National Institutes of Health. He is an elected Fellow of the American College of Medical Informatics and is a member of the Board of Directors of the American Medical Informatics Association. In 2017, after serving on the leadership and editorial boards for a number of leading biomedical informatics journals, he was named the Founding Editor-and-Chief of JAMIA Open, a Gold Open Access journal. He has been an author on over 120 peer-reviewed articles, which span topics from comparative genomics using phylogenetic approaches to population-level trend detection and predictive modeling in clinical and public health contexts, as well as the editor of a textbook (Methods in Biomedical Informatics: A Pragmatic Approach).
The near ubiquitous availability of health data promise to enable augmented intelligence for health. However, amidst the significant national investments in the digitization of health data, many challenges remain in leveraging available data to support clinical decisions. This presentation will explore the promises and challenges in using health data to realize a learning healthcare system.
- Understand the concepts of “Big Data” in the context of health
- Identify the challenges of interoperability, resulting in the “data chasm”
- Describe the core elements of enabling a Learning Healthcare System
- Formulate how health data can be transformed into clinically actionable knowledge
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