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How Data Science, Learning Health Systems, and Precision Health Can Enhance Clinical Practice
Exciting health research uncovers new data, approaches, and solutions daily. But how do we connect findings and data to clinical care? This is the first installment in a series of webinars that seeks to make the connection between research, data, and clinical care.

Please join us to learn about the role of learning health systems in healthcare and precision health (PH). You'll have a chance to discover more about the potential role for data science in clinical practice and research within different aspects of the learning cycle. You'll also hear about opportunities and limitations of current data infrastructure (including EHR data) for precision health, and implications of using EHR to support practice change, including clinical decision support. And you'll walk away understanding dimensions of data quality and possible metrics for assessing the quality of data for particular PH questions. Finally, this is an opportunity to understand the role of data governance and (clinically oriented) learning communities in data quality and precision health research.

This educational event is especially ideal for clinicians, students in all health sciences, researchers, and those who support faculty and students with related services.

The webinar will be led by Gretchen Piatt, Associate Professor, LHS, and Rachel Richesson, Professor, LHS.

Sep 30, 2021 11:00 AM in Eastern Time (US and Canada)

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Speakers

Rachel Richesson, PhD, MPH, MS, FACMI
Professor, Learning Health Sciences @Medical School, University of Michigan
Dr. Richesson conducts original research on the quality and usability of data from electronic health records (EHRs) for research, and has fostered numerous interdisciplinary research collaborations. She has directed implementation of data standards for a number of multi-national multi-site clinical research and epidemiological studies, including the NIH Rare Diseases Clinical Research Network, Type 1 Diabetes TrialNet, and The Environmental Determinants of Diabetes in the Young (TEDDY) study, and the national distributed Patient Centered Outcomes Research Network (PCORnet). Dr. Richesson currently leads the EHR Core for the NIH Health Systems Research Collaboratory, which is developing standards and quality metrics for clinical phenotyping using EHR data in pragmatic clinical trials.
Gretchen A. Piatt, MPH, PhD
Associate Professor, Learning Health Sciences @Medical School, University of Michigan
Dr. Gretchen Piatt is an Associate Professor in the Department of Learning Health Sciences (DLHS) in the Medical School and Health Behavior and Health Education in the School of Public Health. Dr. Piatt serves as the Associate Chair for Educational Programs in DLHS, and is the Graduate Chair for the Health Infrastructures and Learning Systems (HILS) MS/PhD program and Director of the Precision Health Graduate Certificate Program. Dr. Piatt completed her masters and doctoral training at the University of Pittsburgh in chronic disease epidemiology and is a formally trained implementation scientist. Dr. Piatt has expertise in designing, implementing, and evaluating community interventions aimed at improving health care delivery in ethnic minority and underserved populations with diabetes.