rand rounds: Developing Standards and Quality Metrics for Clinical Phenotyping Using EHR Data in Pragmatic Clinical Trials
Rachel Richesson, PhD, MPH, professor in the Department of Learning Health Sciences, School of Medicine, University of Michigan, will present on “Developing standards and quality metrics for clinical phenotyping using EHR data in pragmatic clinical trials.”
Richesson conducts 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, The Environmental Determinants of Diabetes in the Young (TEDDY) study, and the national distributed Patient Centered Outcomes Research Network (PCORnet). She currently co-leads the EHR Core for the NIH Pragmatic Trials Collaboratory, which is developing standards and quality metrics for clinical phenotyping using EHR data in pragmatic clinical trials. She is the editor of Clinical Research Informatics (Springer, 2012 & 2019).