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 the U-M Precision Health series Demystifying the Data, Processes, and Tools that Are Changing Clinical Care, which seeks to make the connection between research, data, and clinical care.

This webinar provides an opportunity to learn about the role of learning health systems in healthcare and precision health (PH). You'll discover more about the potential role of 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 PH 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 is led by Gretchen Piatt, Associate Professor, LHS, and Rachel Richesson, Professor, LHS. Moderated by Vicki Ellingrod, John Gideon Searle Professor and Associate Dean for Research, Pharmacy.