SNOMED CT April Research Webinar

Please join us on Wednesday, April 28, 2021 at 17 UTC/1pm EST for a SNOMED CT Research Webinar featuring Dr. Rachel Richesson who will be presenting, Using SNOMED CT relationships for data exploration and discovery in rare diseases – An example in urea cycle disorders.

Free Registration: snomed.zoom.us/webinar/register/WN_7WJcBEnARxyXiHavuL5L_Q

Electronic clinical and research data coded with SNOMED CT can be used to accelerate the discovery of detailed clinical phenotypes, which are vital to understanding the pathology and management of rare and emerging disorders. The formal semantic relationships in SNOMED CT can support the exploration and analysis of data to recognize new clinical phenotypes, but methods and tools for using these relationships in clinical analytics or research are not readily accessible. In this webinar, I describe our collaborative approach to semantic-based data exploration in a large research dataset on children with rare Urea Cycle Disorders (UCD). Our approach includes a multi-disciplinary team, a graph database representation of SNOMED CT relationships, and a prototype interactive data visualization tool.

About the presenter:
Rachel Richesson, PhD, MPH, MS, FACMI
Department of Learning Health Sciences
University of Michigan

Rachel Richesson is a Professor in the Department of Learning Health Sciences, School of Medicine, 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 co-leads the EHR Core for the NIH Health Systems Research Collaboratory, which is developing approaches for using EHR systems and data in pragmatic clinical trials. In addition, she and Charles Friedman (Chair, Department of Learning Health Sciences) co-lead the multi-stakeholder “Mobilizing Computable Biomedical Knowledge” (MCBK) community establishing the standards, policies, and governance needed for biomedical knowledge to be widely disseminated and applied.