
Genevieve Melton-Meaux is a Professor of Surgery and Health Informatics, Senior Associate Dean of Health Informatics and Data Science, and Director for the Center for Learning Health System Sciences at the University of Minnesota. She is a practicing colorectal surgeon. At the University of Minnesota, she serves on the Executive Leadership Team of the University’s Data Science Initiative, Associate Director for the Clinical NLP Research Group, and Program Director for the Clinical Informatics Fellowship. Operationally, Dr. Melton-Meaux serves as the Chief Health Informatics and AI Officer for M Health Fairview and integrated healthcare delivery system based in Minnesota where she leads informatics including Clinical Decision Support (CDS), Health IT optimization and an enterprise AI program, as well as the system’s evidence-based care program. Her research interests include surgical informatics, improving note usage in EHRs, evaluating biomedical standards and technology solutions in practice, advancing learning health system capabilities and the generation of real world evidence, and clinical natural language processing (NLP). Dr. Melton-Meaux is a member of the National Academy of Medicine, American College of Medical Informatics, and American Surgical Association. She has served as the Past-President of the American College of Medical Informatics and is the current Chair and President for the American Medical Informatics Association. She has over 250 publications.
Sponsored by the Institute for Informatics, Data Science and Biostatistics (I2DB)
Genevieve Melton-Meaux’s presentation, “Learning Health System Capacity Building: A Minnesota Case Study,” emphasizes understanding the core features and transformative potential of learning health systems (LHS) in healthcare. It also explores real-world examples of how LHS can improve patient care and highlights various training opportunities to develop expertise in this field.
Learning objectives:
- Comprehend the fundamental features and potential of learning health systems (LHS): Gain a deep understanding of the core characteristics and transformative potential of LHS in healthcare.
- Explore the role of LHS in care transformation through real-world examples: Examine specific case studies and examples that illustrate how LHS can drive significant improvements in patient care and healthcare delivery.
- Identify training opportunities in learning health systems: Discover various educational and training programs available to enhance skills and knowledge in the field of LHS.