Presented By: Department of Learning Health Sciences
LHS Collaboratory
Single and Multi-Institutional Experience in Radiation Oncology Constructing a Learning Health System for Machine Learning from Real World Data
This presentation will explore how Big Data Science and Informatics research can overcome deficiencies within the electronic health record and optimize real world data collection. We will discuss examples of how standardized nomenclature integrated into clinical workflow can enable statistical AI methods to advance clinical decision support and improve outcome models. Our successes in radiation oncology come from single multi-institutional, multi-national and multi-professional society collaboration.
Presenters:
Charles Mayo, PhD
Professor
Director of Radiation Oncology Informatics and Analytics
Department of Radiation Oncology
University of Michigan Medical School
Michelle Mierzwa, MD
Associate Professor
Associate Chair of Clinical Research
Co-Chair of Head and Neck Clinical Trials
Department of Radiation Oncology
University of Michigan Medical School
Presenters:
Charles Mayo, PhD
Professor
Director of Radiation Oncology Informatics and Analytics
Department of Radiation Oncology
University of Michigan Medical School
Michelle Mierzwa, MD
Associate Professor
Associate Chair of Clinical Research
Co-Chair of Head and Neck Clinical Trials
Department of Radiation Oncology
University of Michigan Medical School
Livestream Information
ZoomJanuary 18, 2022 (Tuesday) 12:00pm
Meeting ID: 95066487451
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