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The Future of Health Data Innovation: Artificial Intelligence for Rural US Healthcare [CME eligible]
Featuring Dr. Katherine Brown
Dr. Katherine (Katie) Brown a biomedical informaticist working at the intersection of state-of-the-art artificial intelligence and machine learning (AI/ML), informatics for rural healthcare, and optimizing AI/ML systems for human collaboration. Her overarching goal as a researcher is to develop and evaluate AI/ML systems that promote equity in healthcare access and patient outcomes while maintaining and enhancing performance, robustness, and reliability. Currently, she is a T15 Postdoctoral Research Fellow in the Department of Biomedical Informatics at Vanderbilt University Medical Center, and she received her B.S. in Computer Science in May 2018, her M.S. in Computer Science in May 2021, and her PhD in Engineering (Computer Science) in August 2023, all from Tennessee Technological University. She has served on the Student Editorial Board of the Journal of the American Medical Informatics Association (JAMIA) in the 2022-2024 cohort and is currently serving on the Editorial Board of JAMIA in the 2025-2027 cohort.
Objectives
- Quantify current state of AI/ML research and development for healthcare in the rural US
- Illustrate challenges faced when implementing AI/ML methods for rural populations
- Evaluate the efficacy of various methods — including synthetic data generation, federated learning, and foundation models — in mitigating concerns about model development
Accreditation
The University of Miami Leonard M. Miller School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Credit Designation
The University of Miami Leonard M. Miller School of Medicine designates this live activity for a maximum of 1 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Mitigation of Relevant Financial Relationships
The University of Miami adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity, including faculty, planners, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity.