Abstract IA10: Finding, accessing, interoperating with, and reusing clinical data in artificial intelligence applications

I will present recent initiatives to promote FAIR (Findable, Accessible, Interoperable, and Reusable) data utilization for biomedical research and health care. Among these initiatives are a Data Discovery Index developed for NIH’s Big Data to Knowledge initiative, and several tools to protect privacy while applying artificial intelligence/machine learning methods on electronic health record data. Finally, I will contrast institution-based and patient-based strategies to share health care data for research.

Citation Format: Lucila Ohno-Machado. Finding, accessing, interoperating with, and reusing clinical data in artificial intelligence applications [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA10.