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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

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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.

Charles Mayo, PhD
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

January 18, 2022 (Tuesday) 12:00pm
Meeting ID: 95066487451

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